text:
@misc{TimeMagazine,
title = {{The Time Magazine Corpus}},
url = {http://corpus.byu.edu/time/}
}
@misc{LatinLibrary,
title = {{The Latin Library}},
url = {http://www.thelatinlibrary.com/}
}
@misc{Schmied2001,
author = {Schmied and Hertel},
title = {{The Lampeter Corpus of Early Modern English Texts}},
url = {https://www.tu-chemnitz.de/phil/english/sections/linguist/real/independent/lampeter/lamphome.htm},
year = {2001}
}
@misc{OxfordText,
author = {{The Oxford Text Archive} and {University of Oxford}},
title = {{The Oxford Text Archive}}
}
@article{Kausler1970,
abstract = {Word associations to 40 homographic stimuli were scored in terms of the semantic features serving as S's apparent functional stimulus, and hierarchies related to the separate sets of features of homographs were determined. For most homographs the dominant meaning in the associative hierarchy was the more frequently occurring meaning in semantic counts, a finding in agreement with a spew-like principle of perceiving homographic stimuli.},
author = {Kausler, Donald H. and Kollasch, Sylvia F.},
doi = {10.1016/S0022-5371(70)80086-X},
issn = {00225371},
journal = {Journal of Verbal Learning and Verbal Behavior},
month = {aug},
number = {4},
pages = {444--449},
title = {{Word associations to homographs}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S002253717080086X https://linkinghub.elsevier.com/retrieve/pii/S002253717080086X},
volume = {9},
year = {1970}
}
@misc{TheInternetArchive,
title = {{The Internet Archive}},
url = {https://archive.org/}
}
@article{Locascio1972,
abstract = {CVCVC (319) words and paralogs previously assessed for associative reaction time (RT) by Taylor and Kimble were assessed for rated frequency (a′) and scaled rated meaningfulness (m′) following procedures used by Noble. Reliability of the a′ scale, based on three intergroup correlations, resulted in rs of .92, .90 and .89. Reliability of the m′ scale, based on an internal consistency test resulted in a mean discrepancy between the 128 empirical proportions and their corresponding theoretical proportions of 2.4; that is, the average error of reproducing all the original data from m′ scaled values was 2.4{\%}. The r between m′ and RT was .71.},
author = {Locascio, David and Ley, Ronald},
doi = {10.1016/S0022-5371(72)80084-7},
issn = {00225371},
journal = {Journal of Verbal Learning and Verbal Behavior},
month = {apr},
number = {2},
pages = {243--250},
title = {{Scaled-rated meaningfulness of 319 CVCVC words and paralogs previously assessed for associative reaction time}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0022537172800847 https://linkinghub.elsevier.com/retrieve/pii/S0022537172800847},
volume = {11},
year = {1972}
}
@inproceedings{Schmidt2014,
abstract = {The Database for Spoken German (Datenbank f{\"{u}}r Gesprochenes Deutsch, DGD2, http://dgd.ids-mannheim.de) is the central platform for publishing and disseminating spoken language corpora from the Archive of Spoken German (Archiv f{\"{u}}r Gesprochenes Deutsch, AGD, http://agd.ids-mannheim.de) at the Institute for the German Language in Mannheim. The corpora contained in the DGD2 come from a variety of sources, some of them in-house projects, some of them external projects. Most of the corpora were originally intended either for research into the (dialectal) variation of German or for studies in conversation analysis and related fields. The AGD has taken over the task of permanently archiving these resources and making them available for reuse to the research community. To date, the DGD2 offers access to 19 different corpora, totalling around 9000 speech events, 2500 hours of audio recordings or 8 million transcribed words. This paper gives an overview of the data made available via the DGD2, of the technical basis for its implementation, and of the most important functionalities it offers. The paper concludes with information about the users of the database and future plans for its development.},
author = {Schmidt},
booktitle = {Proceedings of the ninth conference on international language resources and evaluation (LREC14)},
title = {{The Database for Spoken German - DGD2}},
year = {2014}
}
@article{Al-Sulaiti2006,
abstract = {Corpora are an important resource for both teaching and research. Arabic lacks sufficient resources in this field, so a research project has been designed to compile a corpus, which represents the state of the Arabic language at the present time and the needs of end-users. This report presents the result of a survey of the needs of teachers of Arabic as a foreign language (TAFL) and language engineers. The survey shows that a wide range of text types should be included in the corpus. Overall, our survey confirms our view that existing corpora are too narrowly limited in source-type and genre, and that there is a need for a freely-accessible corpus of contemporary Arabic covering a broad range of text-types. We have collected and published an initial version of the Corpus of Contemporary Arabic (CCA) to meet these design issues. The CCA is freely downloadable via WWW from http://www.comp.leeds.ac.uk/arabic.},
author = {Al-Sulaiti, Latifa and Atwell, Eric Steven},
doi = {10.1075/ijcl.11.2.02als},
issn = {1384-6655},
journal = {International Journal of Corpus Linguistics},
number = {2},
pages = {135--171},
title = {{The design of a corpus of Contemporary Arabic}},
url = {http://www.jbe-platform.com/content/journals/10.1075/ijcl.11.2.02als},
volume = {11},
year = {2006}
}
@article{Esuli2007,
abstract = {Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinions it expresses. OM has a rich set of applications, ranging from tracking users' opinions about products or about political candidates as expressed in online forums, to customer relationship management. In order to aid the extraction of opinions from text, recent research has tried to automatically determine the “PN-polarity” of subjective terms, i.e. identify whether a term that indicates the presence of an opinion has a positive or a negative connotation. Research on determining the “SO-polarity” of terms, i.e. whether a term indeed indicates the presence of an opinion (a subjective term) or not (an objective, or neutral term) has been instead much scarcer. In this paper we describe SentiWordNet, a lexical resource produced by asking an automated classifier ˆ to associate to each synset s of WordNet (version 2.0) a triplet of scores ˆ(s, p) (for p 2 P ={\{}Positive, Negative, Objective{\}}) describing how strongly the terms contained in s enjoy each of the three properties. The method used to develop SentiWordNet is based on the quantitative analysis of the glosses associated to synsets, and on the use of the resulting vectorial term representations for semi-supervised synset classification. The score triplet is derived by combining the results produced by a committee of eight ternary classifiers, all characterized by similar accuracy levels but extremely different classification behaviour. We present the results of evaluating the accuracy of the automatically assigned triplets on a publicly available benchmark. SentiWordNet is freely available for research purposes, and is endowed with a Web-based graphical user interface.},
author = {Esuli, Andrea and Sebastiani, Fabrizio},
journal = {Evaluation},
keywords = {gloss analysis,lexical resources,opinion mining,sentiment classification,supervised learning},
pages = {1--26},
title = {{SENTIWORDNET: A high-coverage lexical resource for opinion mining}},
url = {http://ontotext.fbk.eu/Publications/sentiWN-TR.pdf},
year = {2007}
}
@article{Pastizzo2007,
abstract = {Written word frequency (e.g., Francis {\&} Kucera, 1982; Kucera {\&} Francis, 1967) constitutes a popular measure of word familiarity, which is highly predictive of word recognition. Far less often, researchers employ spoken frequency counts in their studies. This discrepancy can be attributed most readily to the conspicuous absence of a sizeable spoken frequency count for American English. The present article reports the construction of a 1.6-million-word spoken frequency database derived from the Michigan Corpus of Academic Spoken English (Simpson, Swales, {\&} Briggs, 2002). We generated spoken frequency counts for 34,922 words and extracted speaker attributes from the source material to generate relative frequencies of words spoken by each speaker category. We assess the predictive validity of these counts, and discuss some possible applications outside of word recognition studies.},
author = {Pastizzo, Matthew J. and Carbone, Robert F.},
doi = {10.3758/BF03193000},
issn = {1554-351X},
journal = {Behavior Research Methods},
month = {nov},
number = {4},
pages = {1025--1028},
title = {{Spoken word frequency counts based on 1.6 million words in American English}},
url = {http://www.springerlink.com/index/10.3758/BF03193000},
volume = {39},
year = {2007}
}
@article{Manning1977,
abstract = {A set of rating data was collected which compared the visual similarity of consonants to the auditory similarity of the same letters. Analysis of the rating patterns raises important questions about the use of similarity data in drawing conclusions about mode of memory coding in a variety of situations.},
author = {Manning, Susan Karp},
doi = {10.3758/BF03213982},
issn = {0005-7878},
journal = {Behavior Research Methods {\&} Instrumentation},
month = {nov},
number = {6},
pages = {495--498},
title = {{Ratings of the auditory and visual similarity of consonants: Implications for research}},
url = {http://www.springerlink.com/index/10.3758/BF03213982},
volume = {9},
year = {1977}
}
@misc{Davies2015,
author = {Davies, M},
title = {{O CORPUS DO PORTUGUES}},
url = {http://www.corpusdoportugues.org/},
year = {2015}
}
@article{Solso1979a,
abstract = {A comprehensive count of bigram and trigram frequencies and versatilities was tabulated for words recorded by Ku{\v{c}}era and Francis. Totals of 577 different bigrams and 6,140 different trigrams were found. Their frequencies of occurrence and the number of different words in which they appeared are reported in this article.},
author = {Solso, Robert L. and Barbuto, Paul F. and Juel, Connie L.},
doi = {10.3758/BF03201360},
issn = {1554-351X},
journal = {Behavior Research Methods {\&} Instrumentation},
month = {sep},
number = {5},
pages = {475--484},
title = {{Bigram and trigram frequencies and versatilities in the English language}},
url = {http://www.springerlink.com/index/10.3758/BF03201360},
volume = {11},
year = {1979}
}
@book{Massaro1980,
address = {Amsterdam: North-Holland},
author = {Massaro and Taylor and Venezky and Jastrzembski and Lucas},
title = {{Letter and word perception}},
year = {1980}
}
@misc{IntelligenceSquared,
title = {{Intelligence squared}},
url = {http://intelligencesquaredus.org/},
urldate = {2018-08-26}
}
@article{Brodeur2013,
abstract = {In cognitive science, results are obtained following the manipulation of one stimulus' variable and the control of potential confounding variables. To avoid the tedious task of measuring confounding effects, scientists often refer to normative sets of stimuli. The Bank of Standardized Stimuli (BOSS) is one of these sets. It initially included 480 normative stimuli of common objects and norms for seven variables (name, category, familiarity, visual complexity, object's typicality, manipulability and orientation). The BOSS has expanded and provides a wider variety of stimuli in order to fulfill the needs of experiments. To date, the latest version of the BOSS is comprised of 1,420 normative stimuli, including photos of animals, and new norms (color diagnositicity, symmetry, and action related norms). In order to demonstrate the influence of normative variables on cognitions, experiments on episodic memory were completed using the BOSS. Analyses were conducted as a function of the norms and indicated that name agreement, visual complexity, object/viewpoint agreement, symmetry, and color diagnosticity all influenced memory in distinct ways mostly by affecting the performance to new stimuli and by inducing response biases.},
author = {Brodeur, M. B. and Guerard, K. and Lagace, S. and Arguin, M.},
doi = {10.1037/e633262013-344},
journal = {PsycEXTRA Dataset},
title = {{Bank of Standardized Stimuli (BOSS) Updated: 1,420 Normative Photos of Various Concepts to be Used in Cognitive Science}},
year = {2013}
}
@article{Alfaifi2013,
abstract = {This paper introduces the first version of the Arabic Learner Corpus (ALC), which comprises a collection of texts written by learners of Arabic in Saudi Arabia. The corpus covers two types of students, non-native Arabic speakers (NNAS) learning Arabic as a second language (ASL) for academic purpose (AAP), and native Arabic speaking students (NAS) learning to improve their written Arabic. Both groups are males at pre- university level.},
author = {a.Y.G. Alfaifi and Atwell, Eric},
doi = {10.1039/c3ib40166a},
isbn = {0269094042000},
journal = {Second Workshop on Arabic Corpus Linguistics (WACL-2)},
title = {{Arabic Learner Corpus v1: a new resource for Arabic language research}},
year = {2013}
}
@misc{AUSTLANG,
title = {{AUSTLANG: Australian Indigeneous Languages Database}},
url = {http://austlang.aiatsis.gov.au/disclaimer.php}
}
@techreport{Perfetti1971,
abstract = {Norms of free association to common ambiguous English words are reported. Responses were categorized on the basis of sense relevance. On this basis, the sense dominance of the words was quantified, and the degree of ambiguity associated with each word estimated by the information measure U. This publication will be of interest primarily to researchers in verbal learning and psycholinguistics},
address = {Pittsburgh, PA},
author = {Perfetti, Charles A. and Lindsey, Robert and Garson, Blaine},
institution = {Pittsburgh University},
pages = {1--59},
title = {{Association and uncertainty: Norms of association to ambiguous words}},
url = {https://files.eric.ed.gov/fulltext/ED059215.pdf},
year = {1971}
}
@article{Howes1966,
abstract = {A TABLE OF WORD FREQUENCIES DERIVED FROM 250,000 WORDS OF RECORDED INTERVIEWS WITH UNIVERSITY STUDENTS AND HOSPITAL PATIENTS IS PRESENTED. DATA FOR SUBSAMPLES OF 100,000 WORDS EACH FROM THE STUDENT PATIENT POPULATIONS ARE ALSO GIVEN TO PERMIT EVALUATION OF THEIR DIFFERENCES. A TOTAL OF 9699 DIFFERENT WORDS, OF WHICH 4097 OCCURRED ONLY ONCE IN THE COMPLETE SAMPLE, ARE LISTED.},
author = {Howes, Davis},
doi = {10.1016/S0022-5371(66)80093-2},
issn = {00225371},
journal = {Journal of Verbal Learning and Verbal Behavior},
month = {dec},
number = {6},
pages = {572--606},
title = {{A word count of spoken English}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0022537166800932},
volume = {5},
year = {1966}
}
@article{Gruhn2008,
abstract = {The International Affective Picture System (IAPS) has been widely used in aging-oriented research on emotion. However, no ratings for older adults are available. The aim of the present study was to close this gap by providing ratings of valence and arousal for 504 IAPS pictures by 53 young and 53 older adults. Both age groups rated positive pictures as less arousing, resulting in a stronger linear association between valence and arousal, than has been found in previous studies. This association was even stronger in older than in young adults. Older adults perceived negative pictures as more negative and more arousing and positive pictures as more positive and less arousing than young adults did. This might indicate a dedifferentiation of emotional processing in old age. On the basis of a picture recognition task, we also report memorability scores for individual pictures and how they relate to valence and arousal ratings. Data for all the pictures are archived at www.psychonomic.org/archive/.},
author = {Gr{\"{u}}hn, Daniel and Scheibe, Susanne},
doi = {10.3758/BRM.40.2.512},
issn = {1554-351X},
journal = {Behavior Research Methods},
month = {may},
number = {2},
pages = {512--521},
title = {{Age-related differences in valence and arousal ratings of pictures from the International Affective Picture System (IAPS): Do ratings become more extreme with age?}},
url = {http://www.springerlink.com/index/10.3758/BRM.40.2.512},
volume = {40},
year = {2008}
}
@article{Greenhill2008,
abstract = {Phylogenetic methods have revolutionised evolutionary biology and have recently been applied to studies of linguistic and cultural evolution. However, the basic comparative data on the languages of the world required for these analyses is often widely dispersed in hard to obtain sources. Here we outline how our Austronesian Basic Vocabulary Database (ABVD) helps remedy this situation by collating wordlists from over 500 languages into one web-accessible database. We describe the technology underlying the ABVD and discuss the benefits that an evolutionary bioinformatic approach can provide. These include facilitating computational comparative linguistic research, answering questions about human prehistory, enabling syntheses with genetic data, and safe-guarding fragile linguistic information.},
author = {Greenhill, Simon J. and Blust, Robert and Gray, Russell D.},
doi = {10.4137/EBO.S893},
issn = {1176-9343},
journal = {Evolutionary Bioinformatics},
keywords = {ABVD,austronesian,database,lexicon,linguistics},
month = {jan},
pages = {EBO.S893},
publisher = {SAGE PublicationsSage UK: London, England},
title = {{The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics}},
url = {http://journals.sagepub.com/doi/10.4137/EBO.S893},
volume = {4},
year = {2008}
}
@article{Davies2016a,
abstract = {The extent to which processing words involves breaking them down into smaller units or morphemes or is the result of an interactive activation of other units, such as meanings, letters, and sounds (e.g., dis-agree-ment vs. disagreement), is currently under debate. Disentangling morphology from phonology and semantics is often a methodological challenge, because orthogonal manipulations are difficult to achieve (e.g., semantically unrelated words are often phonologically related: casual-casualty and, vice versa, sign-signal). The present norms provide a morphological classification of 3,263 suffixed derived words from two widely spoken languages: English (2,204 words) and Spanish (1,059 words). Morphologically complex words were sorted into four categories according to the nature of their relationship with the base word: phonologically transparent (friend-friendly), phonologically opaque (child-children), semantically transparent (habit-habitual), and semantically opaque (event-eventual). In addition, ratings were gathered for age of acquisition, imageability, and semantic distance (i.e., the extent to which the meaning of the complex derived form could be drawn from the meaning of its base constituents). The norms were completed by adding values for word frequency; word length in number of phonemes, letters, and syllables; lexical similarity, as measured by the number of neighbors; and morphological family size. A series of comparative analyses from the collated ratings for the base and derived words were also carried out. The results are discussed in relation to recent findings.},
author = {Davies, Shakiela K. and Izura, Cristina and Socas, Rosy and Dominguez, Alberto},
doi = {10.3758/s13428-015-0579-y},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {mar},
number = {1},
pages = {349--365},
publisher = {Springer US},
title = {{Age of acquisition and imageability norms for base and morphologically complex words in English and in Spanish}},
url = {http://link.springer.com/10.3758/s13428-015-0579-y},
volume = {48},
year = {2016}
}
@article{Baldi2003,
abstract = {Presents the EPOS database which comprises a list of orthographic neighbors of the 7,076 head words in the Basic Vocabulary of the Italian Language list (T. De Mauro, 1991) and the Zingarelli dictionary (N. Zingarelli, 1999). Development and structure of the database are described. The use of the EPOS database to facilitate the construction of lists of words with a stated number of neighbors and in the development of experimental research studies on the reading ability of good readers and dyslexic subjects is discussed.},
author = {Baldi, Pier Luigi Traficante and Traficante, D},
journal = {Giornale Italiano di Psichologia},
number = {2},
pages = {411--421},
title = {{EPOS (List of orthographically similar words): A database of orthographic neighbors of the most frequent words in written Italian}},
volume = {30},
year = {2003}
}
@article{Adelman2014,
abstract = {Reading involves a process of matching an orthographic input with stored representations in lexical memory. The masked priming paradigm has become a standard tool for investigating this process. Use of existing results from this paradigm can be limited by the precision of the data and the need for cross-experiment comparisons that lack normal experimental controls. Here, we present a single, large, high-precision, multicondition experiment to address these problems. Over 1,000 participants from 14 sites responded to 840 trials involving 28 different types of orthographically related primes (e.g., castfe-CASTLE) in a lexical decision task, as well as completing measures of spelling and vocabulary. The data were indeed highly sensitive to differences between conditions: After correction for multiple comparisons, prime type condition differences of 2.90 ms and above reached significance at the 5{\%} level. This article presents the method of data collection and preliminary findings from these data, which included replications of the most widely agreed-upon differences between prime types, further evidence for systematic individual differences in susceptibility to priming, and new evidence regarding lexical properties associated with a target word's susceptibility to priming. These analyses will form a basis for the use of these data in quantitative model fitting and evaluation and for future exploration of these data that will inform and motivate new experiments.},
author = {Adelman, James S. and Johnson, Rebecca L. and McCormick, Samantha F. and McKague, Meredith and Kinoshita, Sachiko and Bowers, Jeffrey S. and Perry, Jason R. and Lupker, Stephen J. and Forster, Kenneth I. and Cortese, Michael J. and Scaltritti, Michele and Aschenbrenner, Andrew J. and Coane, Jennifer H. and White, Laurence and Yap, Melvin J. and Davis, Colin J. Chris and Kim, Jeesun and Davis, Colin J. Chris},
doi = {10.3758/s13428-013-0442-y},
isbn = {1554-3528 (Electronic)$\backslash$r1554-351X (Linking)},
issn = {15543528},
journal = {Behavior Research Methods},
keywords = {Lexical decision,Megastudies,Orthographic priming,Visual word recognition},
month = {dec},
number = {4},
pages = {1052--1067},
pmid = {24488815},
title = {{A behavioral database for masked form priming}},
url = {http://link.springer.com/10.3758/s13428-013-0442-y},
volume = {46},
year = {2014}
}
@misc{Seifart2013,
address = {Leipzig},
author = {Seifart and Seifart, Frank and Seifart},
publisher = {Max Planck Institute for Evolutionary Anthropology},
title = {{AfBo: A world-wide survey of affix borrowing}},
url = {https://afbo.info/ http://pubman.mpdl.mpg.de/pubman/faces/viewItemOverviewPage.jsp?itemId=escidoc:1922159},
year = {2013}
}
@article{Moussally2017a,
abstract = {[Correction Notice: An Erratum for this article was reported in Vol 49(3) of Behavior Research Methods (see record 2017-21867-030). In the original article, there was an error in the second sentence of Footnote 3 on page 175. The corrected sentence is present in the erratum.] The body-shape-related stimuli used in most body-image studies have several limitations (e.g., a lack of pilot validation procedures and the use of non-body-shape-related control/neutral stimuli). We therefore developed a database of 61 computer-generated body-only pictures of women, wherein bodies were methodically manipulated in terms of fatness versus thinness. Eighty-two young women assessed the pictures' attractiveness, beauty, harmony (valence ratings), and body shape (assessed on a thinness/fatness axis), providing normative data for valence and body shape ratings. First, stimuli manipulated for fatness versus thinness conveyed comparable emotional intensities regarding the valence and body shape ratings. Second, different subcategories of stimuli were obtained on the basis of variations in body shape and valence judgments. Fat and thin bodies were distributed into several subcategories depending on their valence ratings, and a subcategory containing stimuli that were neutral in terms of valence and body shape was identified. Interestingly, at a descriptive level, the thinness/fatness manipulations of the bodies were in a curvilinear relationship with the valence ratings: Thin bodies were not only judged as positive, but also as negative when their estimated body mass indexes (BMIs) decreased too much. Finally, convergent validity was assessed by exploring the impacts of body-image-related variables (BMI, thin-ideal internalization, and body dissatisfaction) on participants' judgments of the bodies. Valence judgments, but not body shape judgments, were influenced by the participants' levels of thin-ideal internalization and body dissatisfaction. Participants' BMIs did not significantly influence their judgments. Given these findings, this database contains relevant material that can be used in various fields, primarily for studies of body-image disturbance or eating disorders. (PsycINFO Database Record (c) 2017 APA, all rights reserved) (Source: journal abstract)},
author = {Moussally, Joanna M. and Rochat, Lucien and Posada, Andr{\'{e}}s and {Van der Linden}, Martial},
doi = {10.3758/s13428-016-0703-7},
issn = {15543528},
journal = {Behavior Research Methods},
keywords = {Body image,Body-only pictures,Computer-generated,Database,Development,Women},
month = {feb},
number = {1},
pages = {172--183},
pmid = {26847037},
publisher = {Springer US},
title = {{A database of body-only computer-generated pictures of women for body-image studies: Development and preliminary validation}},
url = {http://link.springer.com/10.3758/s13428-016-0703-7},
volume = {49},
year = {2017}
}
@article{Brodeur2010a,
abstract = {There are currently stimuli with published norms available to study several psychological aspects of language and visual cognitions. Norms represent valuable information that can be used as experimental variables or systematically controlled to limit their potential influence on another experimental manipulation. The present work proposes 480 photo stimuli that have been normalized for name, category, familiarity, visual complexity, object agreement, viewpoint agreement, and manipulability. Stimuli are also available in grayscale, blurred, scrambled, and line-drawn version. This set of objects, the Bank Of Standardized Stimuli (BOSS), was created specifically to meet the needs of scientists in cognition, vision and psycholinguistics who work with photo stimuli.},
author = {Brodeur, Mathieu B. and Dionne-Dostie, Emmanuelle and Montreuil, Tina and Lepage, Martin},
doi = {10.1371/journal.pone.0010773},
editor = {{Op de Beeck}, Hans P.},
isbn = {1932-6203},
issn = {1932-6203},
journal = {PLoS ONE},
month = {may},
number = {5},
pages = {e10773},
pmid = {20532245},
title = {{The Bank of Standardized Stimuli (BOSS), a New Set of 480 Normative Photos of Objects to Be Used as Visual Stimuli in Cognitive Research}},
url = {http://dx.plos.org/10.1371/journal.pone.0010773},
volume = {5},
year = {2010}
}
@article{VanDantzig2011a,
abstract = {According to recent embodied cognition theories, mental concepts are represented by modality-specific sensory-motor systems. Much of the evidence for modality-specificity in conceptual processing comes from the property-verification task. When applying this and other tasks, it is important to select items based on their modality-exclusivity. We collected modality ratings for a set of 387 properties, each of which was paired with two different concepts, yielding a total of 774 concept-property items. For each item, participants rated the degree to which the property could be experienced through five perceptual modalities (vision, audition, touch, smell, and taste). Based on these ratings, we computed a measure of modality exclusivity, the degree to which a property is perceived exclusively through one sensory modality. In this paper, we briefly sketch the theoretical background of conceptual knowledge, discuss the use of the property-verification task in cognitive research, provide our norms and statistics, and validate the norms in a memory experiment. We conclude that our norms are important for researchers studying modality-specific effects in conceptual processing.},
author = {van Dantzig, Saskia and Cowell, Rosemary A. and Zeelenberg, Ren{\'{e}} and Pecher, Diane},
doi = {10.3758/s13428-010-0038-8},
isbn = {1554-351X},
issn = {1554351X},
journal = {Behavior Research Methods},
keywords = {Conceptual knowledge,Flexibility of meaning,Grounded cognition,Modality exclusivity,Property-verification task},
month = {mar},
number = {1},
pages = {145--154},
pmid = {21287109},
publisher = {Springer-Verlag},
title = {{A sharp image or a sharp knife: Norms for the modality-exclusivity of 774 concept-property items}},
url = {http://link.springer.com/10.3758/s13428-010-0038-8},
volume = {43},
year = {2011}
}
@article{Berman1989a,
abstract = {Developmental differences in name agreement, familiarity, and visual complexity in response to line drawings of common objects were obtained from children and adults. Sixty-one pictures were taken from the Peabody Picture Vocabulary Test-Revised and 259 pictures were taken from the set normed for adults by Snodgrass and Vanderwart (1980). Although there were some differences between the two sets of pictures, the present results replicated the relative independence of these three measures, which was reported by Snodgrass and Vanderwart for adults. Children and adults showed substantial agreement on the names of the pictures. Although the children's ratings were lower on all measures, the differences were trivial for most pictures. We concluded that judgments of familiarity, complexity, and the names of line drawings of common objects are based primarily on information processing accomplished prior to age 7.},
author = {Berman, Steven and Friedman, David and Hamberger, Marla and Snodgrass, Joan Gay},
doi = {10.3758/BF03202800},
issn = {0743-3808},
journal = {Behavior Research Methods, Instruments, {\&} Computers},
month = {may},
number = {3},
pages = {371--382},
publisher = {Springer-Verlag},
title = {{Developmental picture norms: Relationships between name agreement, familiarity, and visual complexity for child and adult ratings of two sets of line drawings}},
url = {http://www.springerlink.com/index/10.3758/BF03202800},
volume = {21},
year = {1989}
}
@misc{Lista,
author = {List, Johann-Mattis and Winter, Bodo and Wedel, Andy},
title = {{The Language Goldmine}},
url = {http://languagegoldmine.com/},
urldate = {2018-08-23}
}
@misc{CorpusGlobal,
title = {{Corpus of Global Web-Based English}},
url = {http://corpus.byu.edu/glowbe/}
}
@misc{OpinionLexicon,
title = {{Opinion Lexicon}},
url = {http://www.cs.uic.edu/{~}liub/FBS/sentiment-analysis.html}
}
@misc{STRATHY,
title = {{Corpus of Canadian English (STRATHY)}},
url = {http://corpus.byu.edu/can/}
}
@inproceedings{FrisianLang,
author = {Sijens and Dykstra},
booktitle = {eLex 2013},
title = {{Frisian Languages Database}},
url = {http://argyf.fryske-akademy.eu/files/tdb/},
year = {2013}
}
@misc{DCS,
title = {{Digital Corpus of Sanskrit (DCS)}},
url = {http://kjc-fs-cluster.kjc.uni-heidelberg.de/dcs/index.php}
}
@misc{CorpusWiki,
title = {{Wikipedia corpus}},
url = {http://corpus.byu.edu/wiki/}
}
@misc{SinicaTreebank,
title = {{Sinica Treebank}},
url = {http://turing.iis.sinica.edu.tw/treesearch/}
}
@misc{CorpusBible,
title = {{Parallel Bible Corpus}},
url = {http://paralleltext.info/data/}
}
@inproceedings{Hamp1997,
abstract = {We present the lexical-semantic net for German "GermaNet" which integrates conceptual ontological information with lexical semantics, within and across word classes. It is compatible with the Princeton WordNet but integrates principlebased modifications on the constructional and organizational level as well as on the level of lexical and conceptual relations. GermaNet includes a new treatment of regular polysemy, artificial concepts and of particle verbs. It furthermore encodes cross-classification and basic syntactic information, constituting an interesting tool in exploring the interaction of syntax and semantics. The development of such a large scale resource is particularly important as German up to now lacks basic online tools for the semantic exploration of very large corpora.},
address = {Madrid},
author = {Hamp and Feldweg},
booktitle = {ACL workshop Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications},
title = {{GermaNet - a Lexical-Semantic Net for German}},
year = {1997}
}
@misc{CorpusOpenParallel,
author = {Tiedemann},
title = {{Open parallel corpus}}
}
@misc{YorkHelsinki,
title = {{York-Helsinki Parsed Corpus of Old English Poetry}},
url = {http://www-users.york.ac.uk/{~}lang18/pcorpus.html},
urldate = {2018-08-22}
}
@misc{YelpChallenge,
title = {{Yelp Challenge Review Data}},
url = {https://www.yelp.com/dataset/challenge},
urldate = {2018-08-22}
}
@misc{WorldBank,
title = {{World Bank Open Data}},
url = {https://data.worldbank.org/},
urldate = {2018-08-22}
}
@misc{CorpusWacky,
title = {{Wacky Corpus}},
url = {http://wacky.sslmit.unibo.it/doku.php?id=corpora},
urldate = {2018-08-22}
}
@misc{USECorpus,
title = {{Uppsala Student English Corpus (USE)}},
url = {http://www.engelska.uu.se/Research/English{\_}Language/Research{\_}Areas/Electronic{\_}Resource{\_}Projects/USE-Corpus/?languageId=1},
urldate = {2018-08-22}
}
@misc{CorpusRussian,
title = {{Uppsala Russian Corpus}},
url = {http://www.moderna.uu.se/slaviska/ryska/corpus/},
urldate = {2018-08-22}
}
@misc{HumanRights,
title = {{Universal Declaration of Human Rights}},
url = {http://unicode.org/udhr/},
urldate = {2018-08-22}
}
@misc{Sentiwordnet,
abstract = {In this work we present SENTIWORDNET 3.0, a lexical resource explicitly devised for supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is an improved version of SENTIWORDNET 1.0, a lexical resource publicly available for research purposes, now currently licensed to more than 300 research groups and used in a variety of research projects worldwide. Both SENTIWORDNET 1.0 and 3.0 are the result of automatically annotating all WORDNET synsets according to their degrees of positivity, negativity, and neutrality. SENTIWORDNET 1.0 and 3.0 differ (a) in the versions of WORDNET which they annotate (WORDNET 2.0 and 3.0, respectively), (b) in the algorithm used for automatically annotating WORDNET, which now includes (additionally to the previous semi-supervised learning step) a random-walk step for refining the scores. We here discuss SENTIWORDNET 3.0, especially focussing on the improvements concerning aspect (b) that it embodies with respect to version 1.0. We also report the results of evaluating SENTIWORDNET 3.0 against a fragment of WORDNET 3.0 manually annotated for positivity, negativity, and neutrality; these results indicate accuracy improvements of about 20{\%} with respect to SENTIWORDNET 1.0.},
author = {Baccianella and Esuli and Sebastiani},
title = {{SentiWordNet}},
url = {http://sentiwordnet.isti.cnr.it/},
urldate = {2018-08-22}
}
@misc{RosetetteInternet,
title = {{Rosetta Collection in The Internet Archive}},
url = {http://archive.org/browse.php?field=subject{\&}mediatype=texts{\&}collection=rosettaproject},
urldate = {2018-08-22}
}
@misc{RMS,
title = {{Romani Morpho-Syntax Database (RMS)}},
url = {https://romani.humanities.manchester.ac.uk//rms/},
urldate = {2018-08-22}
}
@misc{RefLex,
title = {{RefLex - Reference Lexicon}},
url = {https://sites.google.com/site/referencelexicon/},
urldate = {2018-08-22}
}
@misc{CorpusArabic,
author = {Dukes},
title = {{The Quranic Arabic Corpus}},
url = {http://corpus.quran.com/},
urldate = {2018-08-22}
}
@misc{Gutenberg,
title = {{Project Gutenberg}},
url = {http://www.gutenberg.org/},
urldate = {2018-08-22}
}
@misc{PPCHE,
title = {{Penn Parsed Corpora of Historical English}},
url = {http://www.ling.upenn.edu/hist-corpora/},
urldate = {2018-08-22}
}
@misc{CorpusParallelLegal,
author = {Fiontar and Gaeilge},
title = {{Parallel English-Irish corpus of legal texts}},
url = {https://www.gaois.ie/crp/en/},
urldate = {2018-08-22}
}
@misc{OpenSubtitles,
title = {{Open Subtitles}},
url = {https://www.opensubtitles.org/en/search/subs},
urldate = {2018-08-22}
}
@misc{NYTIME,
title = {{New York Times Article Archive}},
url = {https://help.nytimes.com/hc/en-us/articles/115014772767-Archives},
urldate = {2018-08-22}
}
@misc{Nederlandse,
title = {{Nederlandse Familienamenbank}},
url = {http://www.cbgfamilienamen.nl/nfb/},
urldate = {2018-08-22}
}
@misc{LIVAC,
title = {{LIVAC Synchronous Corpus}},
url = {http://www.livac.org/},
urldate = {2018-08-22}
}
@misc{LWL,
title = {{Leipzig Wortschatz Lexicon}},
url = {http://wortschatz.uni-leipzig.de/en},
urldate = {2018-08-22}
}
@book{Kunstmann2007,
author = {Kunstmann, Pierre. and Stein, Achim.},
isbn = {9783515089975},
pages = {200},
publisher = {F. Steiner},
title = {{Le nouveau corpus d'Amsterdam : actes de l'atelier de Lauterbad, 23-26 fevrier 2006}},
url = {http://www.uni-stuttgart.de/lingrom/stein/corpus/},
year = {2007}
}
@misc{LaGazette,
author = {Haffemayer},
title = {{La Gazette de Renaudot}},
url = {http://www.unicaen.fr/gazette/},
urldate = {2018-08-22}
}
@misc{LaCollectionPangloss,
title = {{La Collection Pangloss}},
url = {http://lacito.vjf.cnrs.fr/pangloss/},
urldate = {2018-08-22}
}
@misc{KAIST,
title = {{KAIST Korean Corpus}},
url = {http://semanticweb.kaist.ac.kr/home/index.php/KAIST{\_}Corpus},
urldate = {2018-08-22}
}
@misc{IndoWordNet,
abstract = {India is a multilingual country where machine translation and cross lingual search are highly relevant problems. These problems require large resources- like wordnets and lexicons- of high quality and coverage. Wordnets are lexical structures composed of synsets and semantic relations. Synsets are sets of synonyms. They are linked by semantic relations like hypernymy (is-a), meronymy (part-of), troponymy (manner-of) etc. IndoWordnet is a linked structure of wordnets of major Indian languages from Indo-Aryan, Dravidian and Sino-Tibetan families. These wordnets have been created by following the expansion approach from Hindi wordnet which was made available free for research in 2006. Since then a number of Indian languages have been creating their wordnets. In this paper we discuss the methodology, coverage, important considerations and multifarious benefits of IndoWordnet. Case studies are provided for Marathi, Sanskrit, Bodo and Telugu, to bring out the basic methodology of and challenges involved in the expansion approach. The guidelines the lexicographers follow for wordnet construction are enumerated. The difference between IndoWordnet and EuroWordnet also is discussed.},
author = {Bhattacharyya},
title = {{IndoWordNet}},
url = {http://www.cfilt.iitb.ac.in/indowordnet/},
urldate = {2018-08-22}
}
@misc{IELCD,
title = {{Indo-European Lexical Cognacy Database}},
url = {http://ielex.mpi.nl/},
urldate = {2018-08-22}
}
@misc{Homophone,
author = {Aloisi},
title = {{Homophone.com}},
url = {http://www.homophone.com/},
urldate = {2018-08-22}
}
@misc{HindiWordnet,
author = {Bhattacharyya and Laxmi and Kanojia},
title = {{Hindi Wordnet}},
url = {http://www.cfilt.iitb.ac.in/wordnet/webhwn/},
urldate = {2018-08-22}
}
@misc{CorpusHelsinki,
author = {Rissanen and Kyto and Kahlas-Tarkka and Kilpio and Nevanlinna and Taavitsainen and Nevalainen and Raumolin-Brunberg},
title = {{Helsinki Corpus of English Texts}},
url = {http://www.helsinki.fi/varieng/CoRD/corpora/HelsinkiCorpus/},
urldate = {2018-08-22}
}
@misc{CorpusHebrew,
author = {Parry},
title = {{HebrewCorpus}},
url = {http://hebrewcorpus.nmelrc.org/},
urldate = {2018-08-22}
}
@misc{Glottolog,
author = {Hammarstrom and Forkel and Haspelmath},
title = {{Glottolog 3.3}},
url = {https://glottolog.org/},
urldate = {2018-08-22}
}
@misc{CorpusParallel,
abstract = {This paper describes the acquisition, preparation, and properties of a corpus extracted from the Proceedings of the European Parliament. This corpus is available in 11 languages, consists of over 200 million words per language, and is preprocessed for use in statistical machine translation. We describe the methods we used for crawling, document alignment, and sentence alignment. We also present a common test set for machine translation and report the results of a number of basic statistical machine translation experiments.},
author = {Koehn, P},
title = {{Europarl Parallel Corpus}},
url = {http://www.statmt.org/europarl/},
urldate = {2018-08-22}
}
@misc{EuroWordNet,
abstract = {This book describes the main objective of EuroWordNet, which is the building of a multilingual database with lexical semantic networks or wordnets for several European languages. Each wordnet in the database represents a language-specific structure due to the unique lexicalization of concepts in languages. The concepts are inter-linked via a separate Inter-Lingual-Index, where equivalent concepts across languages should share the same index item. The flexible multilingual design of the database makes it possible to compare the lexicalizations and semantic structures, revealing answers to fundamental linguistic and philosophical questions which could never be answered before. How consistent are lexical semantic networks across languages, what are the language-specific differences of these networks, is there a language-universal ontology, how much information can be shared across languages? First attempts to answer these questions are given in the form of a set of shared or common Base Concepts that has been derived from the separate wordnets and their classification by a language-neutral top-ontology. These Base Concepts play a fundamental role in several wordnets. Nevertheless, the database may also serve many practical needs with respect to (cross-language) information retrieval, machine translation tools, language generation tools and language learning tools, which are discussed in the final chapter. The book offers an excellent introduction to the EuroWordNet project for scholars in the field and raises many issues that set the directions for further research in semantics and knowledge engineering.},
author = {Vossen},
title = {{EuroWordNet:Building a multilingual database with wordnets for several European languages.}},
url = {http://projects.illc.uva.nl/EuroWordNet/ http://www.illc.uva.nl/EuroWordNet/},
urldate = {2018-08-22},
year = {1999}
}
@misc{Ethnologue,
title = {{Ethnologue: Languages of the World}},
url = {https://www.ethnologue.com/},
urldate = {2018-08-22}
}
@misc{EndangeredArchives,
title = {{Endangered Archives Programme}},
url = {https://eap.bl.uk/},
urldate = {2018-08-22}
}
@misc{CorpusEarlyEnglish,
author = {Nevalainen, Terttu and Raumolin-Brunberg, Helena and Keranen, Jukka and Nevala, Minna and Nurmi, Arja and Palander-Collin, Minna},
title = {{Corpus of Early English Correspondence}},
url = {https://www.helsinki.fi/en/researchgroups/varieng/corpus-of-early-english-correspondence},
urldate = {2018-08-22},
year = {1998}
}
@misc{CorpusEspanol,
author = {Davies},
title = {{Corpus del Espa{\~{n}}ol}},
url = {http://www.corpusdelespanol.org/},
urldate = {2018-08-22}
}
@misc{Conception,
author = {List and Mattis and Cysouw},
title = {{Concepticon}},
url = {https://concepticon.clld.org/},
urldate = {2018-08-22}
}
@misc{Brooklyn,
author = {Pintzuk, Susan},
title = {{Brooklyn-Geneva-Amsterdam-Helsinki Parsed Corpus of Old English}},
url = {http://www-users.york.ac.uk/{~}sp20/corpus.html},
urldate = {2018-08-22}
}
@misc{BayDat,
abstract = {Die vorliegende Dissertation beschreibt Aufbau und Funktionalit{\"{a}}t der bayerischen Dialektdatenbank BAYDAT. Die Datenbank fasst die Erhebungsdaten der Teilprojekte des Bayerischen Sprachatlas (BSA) zusammen, speichert sie zukunftssicher und macht sie zentral nutzbar. Die Arbeit zeigt die Vorgehensweise bei der Aufbereitung der Quelldateien, beschreibt die einzelnen Datenbanktabellen der BAYDAT-Datenbank und widmet sich der Realisierung und Funktionalit{\"{a}}t der Onlineoberfl{\"{a}}che, {\"{u}}ber die die BAYDAT-Datenbank einem weltweiten Nutzerkreis aus Dialektologen und interessierten Laien zur Verf{\"{u}}gung stehen soll. The PhD thesis at hand describes the setup and functionality of the Bavarian dialect database BAYDAT. The database integrates the data of the subprojects of the Bayerischer Sprachatlas (BSA, Atlas of the Bavarian language). The database ensures a future-proof storage of the data and makes the data available at one central point. The thesis describes the methods used in formatting the source data. It also describes the structure of the different database tables. It also contains a description of the development and the functionality of BAYDAT's graphical user interface that will allow linguists and laypersons to access the database online.},
author = {Stahl},
title = {{BayDat: Die bayerische Dialektdatenbank}},
url = {http://www.baydat.uni-wuerzburg.de:8080/cocoon/baydat/baydat},
urldate = {2018-08-22}
}
@misc{Wichman2018,
author = {Wichman and Holman and Brown},
title = {{The ASJP Database}},
year = {2018}
}
@misc{Vaden2009,
author = {Vaden, KI and Halpin, HR and Hickok, GS},
title = {{The Irvine Phonotactic Online Dictionary}},
url = {http://www.iphod.com/},
year = {2009}
}
@misc{WorldValuesSurveyAssociation,
author = {{World Values Survey Association}},
title = {{World Values Survey 1981-2008}},
url = {http://www.worldvaluessurvey.org/wvs.jsp},
urldate = {2018-08-21}
}
@misc{Biber,
author = {Biber, Douglas and Finegan, Edward},
title = {{ARCHER: A Representative Corpus of Historical English Registers}},
url = {http://www.projects.alc.manchester.ac.uk/archer/},
urldate = {2018-08-21}
}
@incollection{Taylor2003,
abstract = {The York–Toronto–Helsinki Parsed Corpus of Old English Prose (YCOE) is a 1.5 million-word syntactically annotated corpus of Old English prose texts. It was produced at the University of York, UK, between 2000 and 2003, by Ann Taylor, Anthony Warner, Susan Pintzuk and Frank Beths, with a grant from the English Arts and Humanities Research Board (B/RG/AN5907/APN9528). The YCOE is part of the English Parsed Corpora Series. It was the third historical corpus to be completed in this format, and uses the same kind of annotation scheme as its sister corpora, the Penn–Helsinki Parsed Corpus of Middle English II (PPCME2), the York–Helsinki Parsed Corpus of Old English Poetry and the Penn–Helsinki Parsed Corpus of Early Modern English. Two other corpora in the series, the parsed version of the Corpus of Early English Correspondence and the Penn Parsed Corpus of Modern British English, are currently under construction (at the University of York, UK, in cooperation with the University of Helsinki, Finland, and the University of Pennsylvania, USA, respectively).},
author = {Taylor, Ann},
booktitle = {Creating and Digitizing Language Corpora: Volume 2: Diachronic Databases},
doi = {10.1057/9780230223202_9},
isbn = {9780230223202},
pages = {196--227},
title = {{The York-Toronto-Helsinki parsed corpus of old English prose}},
url = {http://www-users.york.ac.uk/{~}lang22/YcoeHome1.htm},
year = {2007}
}
@misc{Smith,
author = {Smith},
title = {{Free Personal Pronoun System database}},
url = {https://languagelink.let.uu.nl/fpps/},
urldate = {2018-08-21}
}
@misc{Muysken2014,
author = {Muysken and Hammarstrom and Krasnoukhova and Meller and Birchall and van de Kerke and O'Connor and Danielsen and van Gijn and Saad},
booktitle = {Max Planck Institute for Evolutionary Anthropology},
title = {{SAILS}},
url = {https://sails.clld.org/},
urldate = {2018-08-21},
year = {2014}
}
@misc{Moran2014,
author = {Moran and McCloy and Wrigth},
booktitle = {Leipzig: Max Planck Institute for Evolutionary Anthropology},
title = {{PHOIBLE Online}},
url = {https://phoible.org/},
urldate = {2018-08-21},
year = {2014}
}
@book{Sebastian-Galles1996,
address = {Barcelona},
author = {Sebastian-Galles and Marti and Cuetos and Carreiras},
publisher = {Universitat de Barcelona, Departamento de Psicologia Basica},
title = {{LEXESP: base de daw a informatizada de la lengua espanol}},
year = {1996}
}
@article{Manning1975,
author = {Manning and Ferrara},
doi = {10.3758/BF03201471},
issn = {1554-351X},
journal = {Behavior Research Methods {\&} Instrumentation},
month = {may},
number = {3},
pages = {325--325},
title = {{Fourth and fifth grade norms for verbal items in six categories}},
url = {http://www.springerlink.com/index/10.3758/BF03201471},
volume = {7},
year = {1975}
}
@article{Moller1991,
author = {Moller and Hager},
journal = {Sprache {\&} Kognition},
number = {39-51},
title = {{Angenehmheit, bedeutungshaltigkeit, bildhaftigkeit und konkretheit{\_}Abstraktheit von 452 adjektiven}},
volume = {10},
year = {1991}
}
@book{Rafel1998,
address = {Barcelona},
author = {Rafel},
publisher = {Institut d'Estudis Catalans},
title = {{Diccionari de frequencies}},
year = {1998}
}
@article{Amano2003,
author = {Amano and Kondo},
journal = {Tokyo: Sanseido},
title = {{NTT detabesu shirizu: Nihongo no goi-tokusei dai 1-ki CD-ROM-ban}},
year = {2003}
}
@article{Wipphic1977,
abstract = {We describe the Age-Dependent Evaluations of German Adjectives (AGE). This database contains ratings for 200 German adjectives by young and older adults (general word-rating study) and graduate students (self-other relevance study). Words were rated on emotion-relevant (valence, arousal, and control) and memory-relevant (imagery) characteristics. In addition, adjectives were evaluated for self-relevance (Does this attribute describe you?), age relevance (Is this attribute typical for young or for older adults?), and self-other relevance (Is this attribute more relevant for the possessor or for other persons?). These ratings are included in the AGE database as a resource tool for experiments on word material. Our comparisons of young and older adults' evaluations revealed similarities but also significant mean-level differences for a large number of adjectives, especially on the valence dimension. This highlights the importance of age in the perception of emotional words. Data for all the words are archived at www.psychonomic.org/archive/.},
author = {Wipphic and Bredenkamp},
journal = {Zeitschrift for Experimentelle {\&} Angewandte Psychologie},
pages = {671--680},
title = {{Bestimmung der bildhaftigkeit, konkretheit und der bedeutungshaltigkeit von 498 verben und 400 adjektiven}},
volume = {24},
year = {1977}
}
@misc{Lui,
abstract = {Today, people generate and store more data thanever before as they interact with both real and virtual environ-ments. These digital traces of behavior and cognition offercognitive scientists and psychologists an unprecedented op-portunity to test theories outside the laboratory. Despite gen-eral excitement about big data and naturally occurring datasetsamong researchers, threeBgaps{\^{}}stand in the way of theirwider adoption in theory-driven research: theimaginationgap, theskillsgap, and theculturegap. We outline an ap-proach to bridging these three gaps while respecting our re-sponsibilities to the public as participants in and consumers ofthe resulting research. To that end, we introduce Data on theMind (http://www.dataonthemind.org), a community-focusedinitiative aimed at meeting the unprecedented challenges andopportunities of theory-driven research with big data and nat-urally occurring datasets. We argue that big data and naturallyoccurring datasets are most powerfully used tosupplement—not supplant—traditional experimental para-digms in order to understand human behavior and cognition,and we highlight emerging ethical issues related to the collec-tion, sharing, and use of these powerful datasets.},
author = {Lui},
title = {{Amazon Product Review Data}},
url = {http://www.cs.uic.edu/{~}liub/FBS/sentiment-analysis.html}
}
@misc{Bertinetto2005,
abstract = {CoLFIS is a lexical database of written Italian, with the following features: it is based on a balanced corpus of over 3 millions words, reflecting the reading habits of the Italian population as inferred by ISTAT data; the lexical data are fully lemmatized and part-of-speech annotated; it provides a frequency lexicon/dictionary for both lemmas (“lemmario”) and forms (“formario”).},
author = {Bertinetto and Burani and Laudanna and Marconi and Ratti and Rolando and Thornton},
title = {{Corpus e Lessico di Frequenza dell Italiano Scritto (CoLFIS) [Corpus and Frequency Lexicon of Italian Contemporary Writing]}},
url = {http://www.ge.ilc.cnr.it/corpus.php{\%}0A},
year = {2005}
}
@article{Druks2000,
abstract = {Background: The Object and Action Naming Battery (OANB) was developed by Druks and Masterson in 2000 in response to the lack of materials for investigating the difference between the availability of nouns and verbs. This battery has been extensively used in psycholinguistic and aphasia research. The battery has also proved to be a useful tool in clinical practice by speech and language therapists. Aims: Till date, there are no published aphasia assessment tools specifically developed for the use of Saudi Arabic speakers. Therefore, the present study aimed to adapt the OANB for the use of Saudi Arabic speakers. This paper describes the adaptation process. Methods {\&} Procedures: Name agreement data for the items in the OANB was collected from 30 non-brain-damaged Saudi Arabic-speaking adults. This was followed by collecting values for the psycholinguistic variables available in the original battery, which are spoken-word frequency, imageability, age of acquisition, and visual complexity. Outcomes {\&} Results: The Saudi Arabic version of the OANB consists of 50 object and 50 action pictures with high level of name agreement (100{\%} for object pictures, and at least 93{\%} for action pictures), along with the normative data for the variables of spoken-word frequency, imageability, age of acquisition, and visual complexity of the verbal labels for the object and action pictures included in the Saudi Arabic version of the battery. Conclusions: This battery makes a significant contribution to aphasia resources available in Saudi Arabia as it can be used in clinical settings at the assessment stage and for therapeutic purposes for individuals with aphasia. The battery can also be used in aphasia and psycholinguistic research with Arabic speakers.},
author = {Druks and Masterson},
title = {{An object and action naming battery with pairwise matching on various psycholinguistic characteristics}},
year = {2000}
}
@article{Marques1997,
abstract = {In this study, normative data for typicality and familiarity in presented that can be used for research in semantic memory experiments in Portugal. Measures of typicality (Rosch, 1975) and familiarity (Larochelle {\&} Saumier, 1993) were obtained with a sample of university students (n=195) for 16 semantic categories. Experimental evidence is also presented that supports the reliability of the normative data.},
author = {Marques, J F},
journal = {Revista Portuguesa de Piscologia},
pages = {35--55},
title = {{Medidas de tipicidade e familiaridade para diferentes categorias de itens verbais}},
volume = {32},
year = {1997}
}
@misc{Marques2005,
abstract = {Este estudo apresenta dados normativos de imag{\'{e}}tica (imagery) e concreteza (concreteness) para controlo e manipula{\c{c}}{\~{a}}o de substantivos comuns em Portugal. Medidas de imag{\'{e}}tica e concreteza foram recolhidas e s{\~{a}}o apresentadas para um total de 250 substantivos comuns.},
author = {Marques, J Frederico},
booktitle = {Laborat{\'{o}}rio de Psicologia},
pages = {65--75},
title = {{Normas de imag{\'{e}}tica e concreteza para substantivos comuns}},
volume = {1},
year = {2005}
}
@article{Hager1994,
author = {Hager and Hasselhorn},
journal = {Gottingen: Hogrefe},
title = {{Handbuch deutschsprachiger Wortnormen}},
year = {1994}
}
@article{Samudravijaya2013,
author = {Samudravijaya and Gogate},
title = {{Marathi speech database}},
year = {2013}
}
@article{Nishimoto1996,
author = {Nishimoto, T and Hayashi, S},
journal = {Waseda Psychological Reports},
title = {{A standardized set of 143 pictures: Norms for name agreement, image agreement, and familiarity}},
year = {1996}
}
@misc{Durda2006,
author = {Durda and Buchanan},
title = {{WordMine2 [Online]}},
url = {http://web2.uwindsor.ca/wordmine {\%}0A},
year = {2006}
}
@article{Marques2004,
abstract = {Este estudo apresenta dados normativos de familiaridade para utiliza{\c{c}}{\~{a}}o enquanto base para controloe manipula{\c{c}}{\~{a}}o de substantivos comuns em Portugal. Medidas de familiaridade com o referente e como significado (Larochelle {\&} Saumier, 1993) foram recolhidas em dois momentos, num primeiro casoenglobando apenas substantivos concretos ( n =320) e num segundo momento englobando tantosubstantivos concretos como abstractos ( n =219). As normas s{\~{a}}o apresentadas para um total de 459 palavras diferentes.},
author = {Marques, J Frederico},
journal = {Laboratorio de Psicologia},
number = {2},
pages = {5--19},
title = {{Normas de familiaridade para substantivos comuns}},
volume = {19},
year = {2004}
}
@misc{Morey,
author = {Morey, Stephen},
title = {{Tai and Tibeto-Burman Languages of Assam}},
url = {http://sealang.net}
}
@misc{Heinz,
abstract = {Languages with binary stress systems frequently tolerate a stress lapse over the final two syllables, but almost none tolerate a word-initial stress lapse. Lunden (to appear) argues that this lapse asymmetry can be explained by the presence of word-level final lengthening, which can then create the perception of prominence alternation in languages that use duration as stress correlate. The results of a production and a perception study with English speakers are presented which compare /ɑ/s that occur under stress lapse to /ɑ/s in non-stress-lapse positions. While word-final unstressed /ɑ/ is always longer than non-final unstressed /ɑ/, it is significantly longer when immediately following an unstressed syllable. Similarly, unstressed word-final /ɑ/ has a higher F1 and lower F2 than non-final unstressed /ɑ/, but word-finally this less-reduced vowel is closer to a full vowel when the final syllable is part of a stress lapse. The perception study finds that these differences have perceptual consequences that can lead to a perceived continued rhythm in stress lapse. The phonetic differences explain why a word-final unstressed vowel can be perceived as relatively strong when following an unstressed syllable but as relatively weak when following a stressed syllable.},
author = {Heinz},
title = {{UD Phonology Lab Stress Pattern Database}},
url = {http://phonology.cogsci.udel.edu/dbs/stress/}
}
@article{Alameda1995,
author = {Alameda and Cuetos},
journal = {Oviedo: Servicio de Publicaciones de la Universidad de Oviedo},
title = {{Diccionario de frecuencias de las unidades ling{\"{u}}{\'{i}}sticas del castellano [Frequency dictionary for lexical items in Castilian Spanish].}},
year = {1995}
}
@incollection{Maddieson1984,
address = {Cambridge},
author = {Maddieson},
booktitle = {Cambridge studies in speech science and communication.},
publisher = {Cambridge University Press},
title = {{Patterns of Sound}},
url = {http://web.phonetik.uni-frankfurt.de/upsid.html},
year = {1984}
}
@misc{Consortium2007,
author = {Consortium, BNC},
title = {{The British National Corpus, Version 3 (BNC XML Edition)}},
url = {www.natcorp.ox.ac.uk{\%}0A},
year = {2007}
}
@article{Crepaldi2013,
author = {Crepaldi and Keuleers and Mandera and Brysbaert},
title = {{SUBTLEX-IT: A frequency list for Italian based on movie subtitles}},
year = {2013}
}
@inproceedings{Kilgariff2004,
abstract = {Word sketches are one-page automatic, corpus-based summaries of a word's grammatical and collocational behaviour. They were first used in the production of the Macmillan English Dictionary and were presented at Euralex 2002. At that point, they only existed for English. Now, we have developed the Sketch Engine, a corpus tool which takes as input a corpus of any language and a corresponding grammar patterns and which generates word sketches for the words of that language. It also generates a thesaurus and 'sketch differences', which specify similarities and differences between near-synonyms. We briefly present a case study investigating applicability of the Sketch Engine to free word-order languages. The results show that word sketches could facilitate lexicographic work in Czech as they have for English.},
author = {Kilgariff and Rychly and Smrz and Tugwell},
booktitle = {EURALEX 2004},
pages = {105--116},
title = {{The sketch engine}},
year = {2004}
}
@misc{Buchanan2000,
author = {Buchanan and Westbury},
title = {{Wordmine database: Probabilistic values for all four to seven letter words in the English Language}},
year = {2000}
}
@article{Perez2003,
author = {Perez and Alameda and Cuetos},
journal = {Electronic Journal of Methodology Applied},
pages = {1--10},
title = {{Frequency, length and orthographic vecinidad the words of 3-16 letters of the dictionary of the Spanish language}},
volume = {8},
year = {2003}
}
@misc{Kortmann2013,
author = {Kortmann and Bernd and Lunkenheimer and Kerstin},
title = {{The Electronic World Atlas of Varieties of English}},
url = {https://ewave-atlas.org/},
urldate = {2018-08-21},
year = {2013}
}
@misc{Key2015,
author = {Key and Comrie},
title = {{Intercontinental Dictionary Series (IDS)}},
url = {https://ids.clld.org/},
urldate = {2018-08-21},
year = {2015}
}
@misc{Hartmann,
author = {Hartmann and Haspelmath and Taylor},
title = {{Valency Patterns Leipzig Online Database}},
url = {http://valpal.info/},
urldate = {2018-08-21}
}
@misc{Harbsmeier,
abstract = {TLS explores the conceptual schemes of pre-Buddhist Chinese on the basis of over 8500 A4 pages of text with interlinear translations. TLS is a sustained effort in philological and philosophical fieldwork, designed throughout to make the classical Chinese evidence strictly comparable to that of other cultures, and to make possible meaningful analytic primary-evidence-based disagreement among non-sinologists on classical Chinese concepts and words. TLS is compiled in the hope that careful philosophical reflection on Chinese texts might serve to broaden the empirical basis for philosophical theories and generalisations on conceptual schemes. TLS is based on the conviction that we should improve the clarity and bite of declarations of difference between conceptual schemes by enlarging the basis of literally translated and analysed texts from widely (though never radically) different intellectual cultures. The necessary charitable assumption that if we want to understand others we must count them right in most matters will not prevent TLS from looking for and exploring deep conceptual contrasts to the full. TLS seeks to make precise criteria of translation for classical Chinese, mainly through a detailed description in English of systematic recurrent semantic relations between Chinese words, especially distinctive semantic features. TLS is the first synonym dictionary of classical Chinese in any Western language. TLS focusses on distinctive semantic nuances. TLS is the first interactive dictionary of Chinese. TLS is the first dictionary which systematically organises the Chinese vocabulary in taxonomic and mereonomic hierarchies thus showing up whole conceptual schemes or cognitive systems. These are taken to circumscribe the changing topology of Chinese mental space. TLS is the first dictionary that systematically registers a range of lexical relations like antonym, converse, epithet etc. TLS thus aims to define conceptual space as a relational space. TLS is the first dictionary of Chinese which incorporates detailed syntactic analysis of (over 600 distinct kinds of) syntactic usage. TLS thus enables us to make a systematic study of such basic phenomena as the natural history of abstract nouns in China. TLS is the first corpus-based dictionary which will record the history of rhetorical devices in texts and will thus enable us to study such intellectually crucial things as the natural history of irony in China. All analytic categories and procedures of analysis in TLS are flexible in the sense that they are continuously being revised and improved in the light of new observation and analysis},
author = {Harbsmeier, Christoph and Shaoyu, Jiang},
publisher = {Cluster of Excellence, Asia and Europe in a Global Context: Shifting Asymmetries in Cultural Flows},
title = {{Thesaurus Linguae Sericae}},
url = {http://tls.uni-hd.de/home{\_}en.lasso},
urldate = {2018-08-21}
}
@misc{Goedemans,
author = {Goedemans and Heinz and van der Hulst},
title = {{StressTyp2}},
url = {http://st2.ullet.net/},
urldate = {2018-08-21}
}
@misc{Fitt2013,
author = {Fitt and Richmond and Clark},
title = {{Combilex speech technology lexicon}},
url = {http://homepages.inf.ed.ac.uk/korin/sitenew/Research/Combilex/index.html},
urldate = {2018-08-21},
year = {2013}
}
@misc{Fitt2002,
author = {Fitt},
booktitle = {The Center for Speech Technology Research, University of Edinburgh},
title = {{Unisyn Lexicon}},
url = {http://www.cstr.ed.ac.uk/projects/unisyn/},
urldate = {2018-08-21},
year = {2002}
}
@misc{Dryer2013,
author = {Dryer and Haspelmath},
booktitle = {Max Planck Institute for Evolutionary Anthropology},
title = {{The World Atlas of Language Structures Online}},
url = {https://wals.info/},
urldate = {2018-08-21},
year = {2013}
}
@misc{Donohue2013,
author = {Donohue and Hetherington and NcElvenny and Dawson},
title = {{World Phonotactics Database - World Phonotactics Database - ANU}},
url = {http://phonotactics.anu.edu.au/},
urldate = {2018-08-21},
year = {2013}
}
@misc{Dimitriadis2005,
author = {Dimitriadis and Everart and Reinhart and Reuland},
title = {{Anatyp - The Anaphora Typology Database}},
url = {https://languagelink.let.uu.nl/anatyp/},
urldate = {2018-08-21},
year = {2005}
}
@misc{Chang,
author = {Chang},
title = {{Numeral Systems of the World}},
url = {https://mpi-lingweb.shh.mpg.de/numeral/},
urldate = {2018-08-21}
}
@misc{Chambers,
author = {Chambers},
title = {{Atlas of Dialect Topography (On-Line)}},
url = {http://dialect.topography.chass.utoronto.ca/dt{\_}atlas.php},
urldate = {2018-08-21}
}
@article{Mayzner1965c,
author = {Mayzner and Tresselt and Wolin},
journal = {Psychonomic Monograph Supplementsi},
pages = {33--78},
title = {{Tables of trigram frequency counts for various word-length and letter-position combinations}},
volume = {1},
year = {1965}
}
@article{Winters1971,
author = {Winters and Kahn},
journal = {Psychonomic Monograph Supplements},
pages = {129--163},
title = {{Word-association norms: A comparison of adolescent mental retardates and normals}},
volume = {4},
year = {1971}
}
@book{Bousfield1961,
address = {Storrs, CT},
author = {Bousfield and Cohen and Whitmarsh and Kincaid},
publisher = {University of Connecticut},
title = {{The Connecticut free association norms (Tech. Rep. 35)}},
year = {1961}
}
@article{Mayzner1965,
author = {Mayzner and Tresselt and Wolin},
journal = {Psychonomic Monograph Supplements},
pages = {79--142},
title = {{Tables of tetragram frequency counts for various word-length and letter-position combinations}},
volume = {1},
year = {1965}
}
@article{Meurman-Solin1989,
author = {Meurman-Solin, Anneli},
isbn = {0 08},
issn = {08015775},
journal = {The Helsinki Corpus of Older Scots},
keywords = {Softcopy},
number = {19},
pages = {451--458},
title = {{The Helsinki Corpus of Older Scots}},
url = {files/18096/Meurman-Solin 1989 The Helsinki Corpus of Older Scots.pdf},
year = {1989}
}
@misc{Baayen1995,
address = {Philidelphia},
author = {Baayen, R. H. and Piepenbrock, R. and Gulikers, L.},
keywords = {Linguistic Data},
mendeley-tags = {Linguistic Data},
title = {{The CELEX lexical database (CD-ROM)}},
year = {1995}
}
@book{Kucera1967,
address = {Providence, RI},
author = {Kucera and Francis},
publisher = {Brown University},
title = {{Computational analysis of present-day American English}},
year = {1967}
}
@techreport{Bradley1999a,
author = {Bradley and Lang},
title = {{The international affective digitized sounds (2nd edition; IADS-2): Affective ratings of sounds and instruction manual}},
year = {1999}
}
@book{Carrol1971,
address = {New York},
author = {Carrol and Davies and Richman},
publisher = {American Heritage},
title = {{No Word frequency book}},
year = {1971}
}
@article{Mayzner1965a,
author = {Mayzner and Tresselt and Wolin},
journal = {Psychonomic Monograph Supplements},
pages = {145--185},
title = {{Tables of pentagram frequency counts for various word-length and letter-position combinations}},
volume = {1},
year = {1965}
}
@article{Duncan1966,
author = {Duncan, CP and Wood, G},
title = {{Norms for successive word associations}},
url = {https://scholar.google.com/scholar?as{\_}q=Norms+for+successive+word+associations{\&}as{\_}epq={\&}as{\_}oq={\&}as{\_}eq={\&}as{\_}occt=any{\&}as{\_}sauthors={\&}as{\_}publication={\&}as{\_}ylo=1965{\&}as{\_}yhi=1967{\&}hl=en{\&}as{\_}sdt=0{\%}2C25},
year = {1966}
}
@article{Amster1967,
author = {Amster, H},
title = {{Convergent association norms for ten-year-old children and college age adults}},
url = {https://scholar.google.com/scholar?hl=en{\&}as{\_}sdt=0{\%}2C25{\&}q=Convergent+association+norms+for+ten-year-old+children+and+college+age+adults{\&}btnG=},
year = {1967}
}
@techreport{Baath2010,
abstract = {This technical report describes the implementation and use of ChildFreq, a tool for assessing lexical norms of children from one to seven years old. As the name implies, ChildFreq works by extracting word frequencies from a large corpus of child language. These can then be ordered by age or mean length of utterance, and it is also possible to split the data by the children's gender. A query of words to count the frequency of produces both a line chart and a table with more detailed information. The child language data is taken from the English part of the CHILDES database 1 and comprises more than 5,000 transcriptions ,a total of ≈ 3, 500, 000 word tokens. The children's ages range from six months to seven years, with most children being three years old. ChildFreq is freely available online at http://childfreq.sumsar.net .},
author = {B{\aa}{\aa}th, Rasmus},
booktitle = {LUCS Minor},
keywords = {CHILDES,language development,lexical acquisition,lexical norms,word frequency},
title = {{ChildFreq: An Online Tool to Explore Word Frequencies in Child Language}},
url = {http://childes.psy.cmu.edu/},
volume = {16},
year = {2010}
}
@inproceedings{Bickel2017,
abstract = {This paper presents two database methods for crosslinguistic data collection and comparison: autotypologizing and exemplar-based sampling. Autotypologizing dispenses with a priori defined comparative grids and instead lets structural types emerge inductively through a type list that is constantly updated in response to languages entered in a database. Examplar-based sampling allows identification of a single representative of cross-linguistically heterogeneous structural domains such as case. These two methods are helpful tools in fieldwork. Autotypologizing generates inventories of known types. These inventories update researchers' expectance range for newly encountered types (like published typological surveys, but more dynamically). Examplar-based sampling is useful for writing typological profiles at very early stages of description.},
author = {Bickel, Balthasar and Nichols, Johanna},
booktitle = {Proceedings of the LREC 2002 Workshop on Resources and Tools in Field Linguistics},
title = {{Autotypologizing databases and their use in fieldwork}},
url = {https://www.semanticscholar.org/paper/Autotypologizing-databases-and-their-use-in-Bickel-Nichols/d5c67012cf926d3607095135f4cb38db5a317a2e},
year = {2002}
}
@article{Brants2004,
abstract = {This paper reports on the TIGER Treebank, a corpus of currently 40,000 syntactically annotated German newspaper sentences. We describe what kind of information is encoded in the treebank and introduce the different representation formats that are used for the annotation and exploitation of the treebank. We explain the different methods used for the annotation: interactive annotation, using the tool ANNOTATE, and LFG parsing. Furthermore, we give an account of the annotation scheme used for the TIGER treebank. This scheme is an extended and improved version of the NEGRA annotation scheme and we illustrate in detail the linguistic extensions that were made concerning the annotation in the TIGER project. The main differences are concerned with coordination, verb-subcategorization, expletives as well as proper nouns. In addition, the paper also presents the query tool TIGERSearch that was developed in the project to exploit the treebank in an adequate way. We describe the query language which was designed to facilitate a simple formulation of complex queries; furthermore, we shortly introduce TIGER in, a graphical user interface for query input. The paper concludes with a summary and some directions for future work.},
author = {Brants, Sabine and Dipper, Stefanie and Eisenberg, Peter and Hansen-Schirra, Silvia and K{\"{o}}nig, Esther and Lezius, Wolfgang and Rohrer, Christian and Smith, George and Uszkoreit, Hans},
doi = {10.1007/s11168-004-7431-3},
issn = {1570-7075},
journal = {Research on Language and Computation},
month = {dec},
number = {4},
pages = {597--620},
title = {{TIGER: Linguistic Interpretation of a German Corpus}},
url = {http://link.springer.com/10.1007/s11168-004-7431-3},
volume = {2},
year = {2004}
}
@article{Brysbaert2014a,
abstract = {Word processing studies increasingly make use of regression analyses based on large numbers of stimuli (the so-called megastudy approach) rather than experimental designs based on small factorial designs. This requires the availability of word features for many words. Following similar studies in English, we present and validate ratings of age of acquisition and concreteness for 30,000 Dutch words. These include nearly all lemmas language researchers are likely to be interested in. The ratings are freely available for research purposes.},
author = {Brysbaert, Marc and Stevens, Micha{\"{e}}l and {De Deyne}, Simon and Voorspoels, Wouter and Storms, Gert},
doi = {10.1016/j.actpsy.2014.04.010},
issn = {00016918},
journal = {Acta Psychologica},
month = {jul},
pages = {80--84},
publisher = {North-Holland},
title = {{Norms of age of acquisition and concreteness for 30,000 Dutch words}},
url = {https://www.sciencedirect.com/science/article/pii/S0001691814000985 http://linkinghub.elsevier.com/retrieve/pii/S0001691814000985},
volume = {150},
year = {2014}
}
@article{Davies2010,
abstract = {The Corpus of Contemporary American English is the first large, genre-balanced corpus of any language, which has been designed and constructed from the ground up as a ‘monitor corpus', and which can be used to accurately track and study recent changes in the language. The 400 million words corpus is evenly divided between spoken, fiction, popular magazines, newspapers, and academic journals. Most importantly, the genre balance stays almost exactly the same from year to year, which allows it to accurately model changes in the ‘real world'. After discussing the corpus design, we provide a number of concrete examples of how the corpus can be used to look at recent changes in English, including morphology (new suffixes –friendly and –gate), syntax (including prescriptive rules, quotative like, so not ADJ, the get passive, resultatives, and verb complementation), semantics (such as changes in meaning with web, green, or gay), and lexis––including word and phrase frequency by year, and using the corpus architecture to produce lists of all words that have had large shifts in frequency between specific historical periods.},
author = {Davies, M.},
doi = {10.1093/llc/fqq018},
issn = {0268-1145},
journal = {Literary and Linguistic Computing},
month = {dec},
number = {4},
pages = {447--464},
publisher = {Oxford University Press},
title = {{The Corpus of Contemporary American English as the first reliable monitor corpus of English}},
url = {https://academic.oup.com/dsh/article-lookup/doi/10.1093/llc/fqq018},
volume = {25},
year = {2010}
}
@article{Diller2010,
abstract = {The article reports on the importance and impact of the electronic corpora in linguistics. It mentions that since the electronic corpus of English, problem exists for corpus compilers because of the different needs of linguists. It suggests that the problem lies on the database of the text descriptors that would guide researchers through the existing repositories to enable researchers to create their own corpora.},
author = {Diller, Hans-J{\"{u}}rgen and {De Smet}, Hendrik and Tyrkk{\"{o}}, Jukka},
journal = {The European English messenger},
number = {2},
pages = {29--35},
title = {{A European database of descriptors of English electronic texts}},
url = {https://scholar.google.com/scholar?hl=en{\&}as{\_}sdt=0{\%}2C25{\&}q=A+European+database+of+descriptors+of+English+electronic+texts{\&}btnG= http://www.essenglish.org/mess/mestoc192.html},
volume = {19},
year = {2010}
}
@techreport{Gast,
author = {Gast, Volker},
title = {{A contribution to 'two-dimensional' language description: the Typological Database of Intensifiers and Reflexives}},
url = {http://www.personal.uni-jena.de/{~}mu65qev/papdf/gast.tdir.pdf}
}
@techreport{Everaert,
abstract = {This book promotes the development of linguistic databases by describing a number of successful database projects, focusing especially on cross-linguistic and typological research. It has become increasingly clear that ready access to knowledge about cross-linguistic variation is of great value to many types of linguistic research. Such a systematic body of data is essential in order to gain a proper understanding of what is truly universal in language and what is determined by specific cultural settings. Moreover, it is increasingly needed as a tool to systematically evaluate contrasting theoretical claims. The book includes a chapter on general problems of using databases to handle language data and chapters on a number of individual projects.},
author = {Everaert, Martin and Musgrave, Simon and Dimitriadis, Alexis},
title = {{The Use of Databases in Cross-Linguistic Studies}},
url = {https://www.researchgate.net/profile/Simon{\_}Musgrave/publication/46720060{\_}The{\_}Use{\_}of{\_}Databases{\_}in{\_}cross-Linguistic{\_}Studies/links/004635214489422edb000000/The-Use-of-Databases-in-cross-Linguistic-Studies.pdf}
}
@article{Guevara2010,
abstract = {In this paper we introduce the first version of noWaC, a large web-based corpus of Bokm{\aa}l Norwegian currently containing about 700 million tokens. The corpus has been built by crawling, downloading and processing web documents in the .no top-level internet domain. The procedure used to collect the noWaC corpus is largely based on the techniques described by Ferraresi et al. (2008). In brief, first a set of "seed" URLs containing documents in the target language is collected by sending queries to commercial search engines (Google and Yahoo). The obtained seeds (overall 6900 URLs) are then used to start a crawling job using the Heritrix web-crawler limited to the .no domain. The downloaded documents are then processed in various ways in order to build a linguistic corpus (e.g. filtering by document size, language identification, duplicate and near duplicate detection, etc.).},
author = {Guevara, Emiliano Raul},
isbn = {9999999999},
journal = {Proceedings of the NAACL HLT 2010 Sixth Web as Corpus Workshop},
number = {June},
pages = {1--7},
publisher = {Association for Computational Linguistics},
title = {{NoWaC: a large web-based corpus for Norwegian}},
url = {http://sslmit.},
year = {2010}
}
@inproceedings{List,
abstract = {Since long it has been noted that cross-linguistically recurring polysemies can serve as an indi-cator of conceptual relations, and quite a few approaches to model and analyze such data have been proposed in the recent past. Although – given the nature of the data – it seems natural to model and analyze it with the help of network techniques, there are only a few approaches which make explicit use of them. In this paper, we show how the strict application of weighted network models helps to get more out of cross-linguistic polysemies than would be possible using approaches that are only based on item-to-item comparison. For our study we use a large dataset consisting of 1252 semantic items translated into 195 different languages covering 44 different language families. By analyz-ing the community structure of the network reconstructed from the data, we find that a majority of the concepts (68{\%}) can be separated into 104 large communities consisting of five and more nodes. These large communities almost exclusively constitute meaningful groupings of concepts into con-ceptual fields. They provide a valid starting point for deeper analyses of various topics in historical semantics, such as cognate detection, etymological analysis, and semantic reconstruction.},
author = {List, Johann Mattis and Terhalle, Anselm and Urban, Matthias},
booktitle = {Proceedings of the 10th International Conference on Computational Semantics, IWCS 2013 - Long Papers},
title = {{Using network approaches to enhance the analysis of cross-linguistic polysemies}},
url = {http://www.aclweb.org/anthology/W13-0208},
year = {2013}
}
@article{Michel2011,
abstract = {We constructed a corpus of digitized texts containing about 4{\%} of all books ever printed. Analysis of this corpus enables us to investigate cultural trends quantitatively. We survey the vast terrain of 'culturomics,' focusing on linguistic and cultural phenomena that were reflected in the English language between 1800 and 2000. We show how this approach can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology, the pursuit of fame, censorship, and historical epidemiology. Culturomics extends the boundaries of rigorous quantitative inquiry to a wide array of new phenomena spanning the social sciences and the humanities.},
author = {Michel, Jean Baptiste and {Kui Shen}, Yuan and {Presser Aiden}, Aviva and Veres, Adrian and Gray, Matthew K and Pickett, Joseph P and Hoiberg, Dale and Clancy, Dan and Norvig, Peter and Orwant, Jon and Pinker, Steven and Nowak, Martin A and Aiden, Erez Lieberman},
doi = {10.1126/science.1199644},
issn = {00368075},
journal = {Science},
month = {jan},
number = {6014},
pages = {176--182},
pmid = {21163965},
publisher = {American Association for the Advancement of Science},
title = {{Quantitative analysis of culture using millions of digitized books}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21163965 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3279742},
volume = {331},
year = {2011}
}
@inproceedings{Quasthoff,
abstract = {A simple and flexible schema for storing and presenting monolingual language resources is proposed. In this format, data for 18 different languages is already available in various sizes. The data is provided free of charge for online use and download. The main target is to ease the application of algorithms for monolingual and interlingual studies.},
author = {Quasthoff, Uwe and Richter, Matthias and Biemann, Christian},
booktitle = {Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006},
pages = {1799--1802},
title = {{Corpus portal for search in monolingual corpora}},
url = {http://wortschatz.uni-leipzig.de/,},
year = {2006}
}
@inproceedings{Richmond2011,
abstract = {This paper serves as an initial announcement of the avail- ability of a corpus of articulatory data called mngu0. This cor- pus will ultimately consist of a collection of multiple sources of articulatory data acquired from a single speaker: electro- magnetic articulography (EMA), audio, video, volumetric MRI scans, and 3D scans of dental impressions. This data will be provided free for research use. In this first stage of the release, we are making available one subset of EMA data, consisting of more than 1,300 phonetically diverse utterances recorded with a Carstens AG500 electromagnetic articulograph. Distribution of mngu0 will be managed by a dedicated “forum-style” web site. This paper both outlines the general goals motivating the distribution of the data and the creation of the mngu0 web fo- rum, and also provides a description of the EMA data contained in this initial release.},
author = {Richmond, Korin and Hoole, Phil and King, Simon},
booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
issn = {19909772},
keywords = {Articulography,Corpus,EMA},
pages = {1505--1508},
title = {{Announcing the electromagnetic articulography (day 1) subset of the mngu0 articulatory corpus}},
url = {https://s3.amazonaws.com/academia.edu.documents/40148953/Announcing{\_}the{\_}Electromagnetic{\_}Articulog20151118-7636-w987qw.pdf?AWSAccessKeyId=<REDACTED_AWS_ACCESS_KEY>{\&}Expires=1534813376{\&}Signature=cohpvbbOAZXGPbfoooQsSk{\%}2BvzfE{\%}3D{\&}response-content-disposition=inline},
year = {2011}
}
@article{Torreira2010,
abstract = {This article describes the preparation, recording and orthographic transcription of a new speech corpus, the Nijmegen Corpus of Casual French (NCCFr). The corpus contains a total of over 36 h of recordings of 46 French speakers engaged in conversations with friends. Casual speech was elicited during three different parts, which together provided around 90 min of speech from every pair of speakers. While Parts 1 and 2 did not require participants to perform any specific task, in Part 3 participants negotiated a common answer to general questions about society. Comparisons with the ESTER corpus of journalistic speech show that the two corpora contain speech of considerably different registers. A number of indicators of casualness, including swear words, casual words, verlan, disfluencies and word repetitions, are more frequent in the NCCFr than in the ESTER corpus, while the use of double negation, an indicator of formal speech, is less frequent. In general, these estimates of casualness are constant through the three parts of the recording sessions and across speakers. Based on these facts, we conclude that our corpus is a rich resource of highly casual speech, and that it can be effectively exploited by researchers in language science and technology. {\textcopyright} 2009 Elsevier B.V. All rights reserved.},
author = {Torreira, Francisco and Adda-Decker, Martine and Ernestus, Mirjam},
doi = {10.1016/j.specom.2009.10.004},
issn = {01676393},
journal = {Speech Communication},
keywords = {Casual speech,Corpus,French},
month = {mar},
number = {3},
pages = {201--212},
publisher = {North-Holland},
title = {{The Nijmegen Corpus of Casual French}},
url = {https://www.sciencedirect.com/science/article/pii/S0167639309001629},
volume = {52},
year = {2010}
}
@book{Haspelmath,
abstract = {"This landmark publication in comparative linguistics is the first comprehensive work to address the general issue of what kinds of words tend to be borrowed from other languages. The authors have assembled a unique database of over 70,000 words from 40 languages from around the world, 18,000 of which are loanwords. This database (http://loanwords.info) allows the authors to make empirically founded generalizations about general tendencies of word exchange among languages"--Provided by publisher. Notational conventions -- Acknowledgments -- List of authors -- General chapters: I. The loanword typology project and the world loanword database / Martin Haspelmath and Uri Tadmor -- II. Lexical borrowing: Concepts and issues / Martin Haspelmath -- III. Loanwords in the world's languages: Findings and results / Uri Tadmor -- THE LANGUAGES: 1. Loanwords in Swahili / Thilo C. Schadeberg -- 2. Loanwords in Iraqw, a Cushitic language of Tanzania / Maarten Mous and Martha Qorro -- 3. Loanwords in Gawwada, a Cushitic language of Ethiopia / Mauro Tosco -- 4. Loanwords in Hausa, a Chadic language in West Africa / Ari Awagana and H. Ekkehard Wolff, with Doris Löhr -- 5. Loanwords in Kanuri, a Saharan language / Doris Löhr and H. Ekkehard Wolff, with Ari Awagana -- 6. Loanwords in Tarifiyt, a Berber language of Morocco / Maarten Kossmann -- 7. Loanwords in Seychelles Creole / Susanne Michaelis with Marcel Rosalie -- 8. Loanwords in Romanian / Kim Schulte -- 9. Loanwords in Selice Romani, an Indo-Aryan language of Slovakia / Viktor Elšík -- 10. Loanwords in Lower Sorbian, a Slavic language of Germany / Hauke Bartels -- 11. Loanwords in Old High German / Roland Schuhmann -- 12. Loanwords in Dutch / Nicoline van der Sijs -- 13. Loanwords in British English / Anthony Grant -- 14. Loanwords in Kildin Saami, a Uralic language of northern Europe / Michael Riessler -- 15. Loanwords in Bezhta, a Nakh-Daghestanian of the North Caucasus / Bernard Comrie and Madzhid Khalilov -- 16. Loanwords in Archi, a Nakh-Daghestanian of the North Caucasus / Marina Chumakina -- 17. Loanwords in Manange, a Tibeto-Burman language of Nepal / Kristine A. Hildebrandt -- 18. Loanwords in Ket, a Yeniseian language of Siberia / Edward Vajda -- 19. Loanwords in Sakha (Yakut), a Turkic language of Siberia / Brigitte Pakendorf and Innokentij N. Novgorodov -- 20. Loanwords in Oroqen, a Tungusic language of China / Fengxiang Li and Lindsay J. Whaley. Loanwords in Japanese / Christopher K. Schmidt -- 22. Loanwords in Mandarin Chinese / Thekla Wiebusch and Uri Tadmor -- 23. Loanwords in Thai / Titima Suthiwan and Uri Tadmor -- 24. Loanwords in Vietnamese / Mark J. Alves -- 25. Loanwords in White Hmong / Martha Ratliff -- 26. Loanwords in Ceq Wong, an Austroasiatic language of Peninsular Malaysia / Nicole Kruspe -- 27. Loanwords in Indonesian / Uri Tadmor -- 28. Loanwords in Malagasy / Alexander Adelaar -- 29. Loanwords in Takia, an Oceanic language of Papua New Guinea / Malcolm Ross -- 30. Loanwords in Hawaiian / 'Ōiwi Parker Jones -- 31. Loanwords in Gurindji, a Pama-Nyungan language of Australia / Patrick McConvell -- 32. Loanwords in Yaqui, a Uto-Aztecan language of Mexico / Zarina Estrada Fernández -- 33. Loanwords in Zinacantán Tzotzil, a Mayan language of Mexico / Cecil H. Brown -- 34. Loanwords in Q'eqchi', a Mayan language of Guatemala / S{\o}ren Wichmann and Kerry Hull -- 35. Loanwords in Otomi, an Otomanguean language of Mexico / Ewald Hekking and Dik Bakker -- 36. Loanwords in Saramaccan, an English-based creole of Suriname / Jeff Good -- 37. Loanwords in Imbabura Quechua / Jorge Gómez Rendón and Willem Adelaar -- 38. Loanwords in Kali'na, a Cariban language of French Guiana / Odile Renault-Lescure -- 39. Loanwords in Hup, a Nadahup language of Amazonia / Patience Epps -- 40. Loanwords in Wichí, a Mataco-Mataguayan language of Argentina / Alejandra Vidal and Verónica Nercesian -- 41. Loanwords in Mapudungun, a language of Chile and Argentina / Lucía A. Golluscio.},
author = {Haspelmath, Martin and Tadmor, Uri},
isbn = {9783110218435},
pages = {1081},
title = {{Loanwords in the world's languages : a comparative handbook}},
url = {https://books.google.com/books?hl=en{\&}lr={\&}id=OYFMqEJ1KCgC{\&}oi=fnd{\&}pg=PR1{\&}dq=Loanwords+in+the+World{\%}27s+Languages:+A+Comparative+Handbook{\&}ots=jXQbC9Yy3I{\&}sig=kREhA3FTBzWxkJ1zPWHXs4CSw-4{\#}v=onepage{\&}q=Loanwords in the World's Languages{\%}3A A Comparative Handbook{\&}}
}
@misc{Zalizniak,
abstract = {This paper presents an overview of a project that aims at creating a representative Catalogue of cross-linguistically recurrent semantic shifts1 in the languages of the world and at implementing this Catalogue in the form of a searchable computer database2. Such a catalogue is useful in several theoretical and methodological respects. First of all, both universal and language-specific semantic shifts can be considered a window onto human cognitive mechanisms operative in the domain of linguistic conceptualization. Second, the catalogue provides a rich empirical basis for the study of genetic and areal tendencies in semantic change, as well as in polysemy patterns. Another potential application is historical reconstruction, since the catalogue gives evidence for attested paths of diachronic semantic evolution. In section 1 we outline the general concept of the Catalogue of Semantic Shifts. Section 2 describes the design of the computer database. In section 3 we discuss some problematic points that we have faced while working on the Catalogue. The next three sections demonstrate how the Catalogue can be used in linguistic research and present an analysis of three selected issues, namely semantic shifts in the domain of dimension (section 4), motivation strategies in the domain of folk biology (section 5), and euphemization as a mechanism of semantic change (section 6).},
author = {Zalizniak, Anna S. and Bulakh, Maria and Ganenkov, Dmitrij and Gruntov, Ilya and Maisak, Timur and Russo, Maxim},
booktitle = {Linguistics},
doi = {10.1515/ling-2012-0020},
issn = {00243949},
number = {3},
pages = {633--669},
title = {{The catalogue of semantic shifts as a database for lexical semantic typology}},
url = {https://www.researchgate.net/publication/273232533},
volume = {50},
year = {2012}
}
@article{Winter2016,
abstract = {ABSTRACTIn brain and behaviour, gustation, and olfaction are closely linked to emotional processing. This paper shows that similarly, words associated with taste and smell, such as “pungent” and “delicious”, are on average more emotionally valenced than words associated with the other senses, such as “beige” (visual) and “echoing” (auditory). Moreover, taste and smell words occur more frequently in emotionally valenced phrases, for example, “fragrant” modifies more emotionally valenced nouns (“fragrant kiss”) than the visual adjective “yellow” (“yellow house”). It is argued that taste and smell words form an affectively loaded part of the English lexicon. Taste and smell words are also shown to be more emotionally flexible in that words such as “sweet” can be combined with both good and bad nouns (“sweet delight” versus “sweet disaster”), much more so than is the case for sensory words for the other modalities. The paper discusses implications for theories of embodied language understanding.},
author = {Winter, Bodo},
doi = {10.1080/23273798.2016.1193619},
issn = {2327-3798},
journal = {Language, Cognition and Neuroscience},
keywords = {Embodied cognition,emotional language,modality-specific processing,sensory modalities,valence},
month = {sep},
number = {8},
pages = {975--988},
publisher = {Routledge},
title = {{Taste and smell words form an affectively loaded and emotionally flexible part of the English lexicon}},
url = {https://www.tandfonline.com/doi/full/10.1080/23273798.2016.1193619},
volume = {31},
year = {2016}
}
@article{Perry2018,
abstract = {Iconicity – the correspondence between form and meaning – may help young children learn to use new words. Early‐learned words are higher in iconicity than later learned words. However, it remains unclear what role iconicity may play in actual language use. Here, we ask whether iconicity relates not just to the age at which words are acquired, but also to how frequently children and adults use the words in their speech. If iconicity serves to bootstrap word learning, then we would expect that children should say highly iconic words more frequently than less iconic words, especially early in development. We would also expect adults to use iconic words more often when speaking to children than to other adults. We examined the relationship between frequency and iconicity for approximately 2000 English words. Replicating previous findings, we found that more iconic words are learned earlier. Moreover, we found that more iconic words tend to be used more by younger children, and adults use more iconic words when speaking to children than to other adults. Together, our results show that young children not only learn words rated high in iconicity earlier than words low in iconicity, but they also produce these words more frequently in conversation – a pattern that is reciprocated by adults when speaking with children. Thus, the earliest conversations of children are relatively higher in iconicity, suggesting that this iconicity scaffolds the production and comprehension of spoken language during early development.},
author = {Perry, Lynn K. and Perlman, Marcus and Winter, Bodo and Massaro, Dominic W. and Lupyan, Gary},
doi = {10.1111/desc.12572},
issn = {1363755X},
journal = {Developmental Science},
month = {may},
number = {3},
pages = {e12572},
publisher = {Wiley/Blackwell (10.1111)},
title = {{Iconicity in the speech of children and adults}},
url = {http://doi.wiley.com/10.1111/desc.12572},
volume = {21},
year = {2018}
}
@article{Dunabeitia2018,
abstract = {Numerous studies in psychology, cognitive neuroscience and psycholinguistics have used pictures of objects as stimulus materials. Currently, authors engaged in cross-linguistic work or wishing to run parallel studies at multiple sites where different languages are spoken must rely on rather small sets of black-and-white or colored line drawings. These sets are increasingly experienced as being too limited. Therefore, we constructed a new set of 750 colored pictures of concrete concepts. This set, MultiPic, constitutes a new valuable tool for cognitive scientists investigating language, visual perception, memory and/or attention in monolingual or multilingual populations. Importantly, the MultiPic databank has been normed in six different European languages (British English, Spanish, French, Dutch, Italian and German). All stimuli and norms are freely available at http://www.bcbl.eu/databases/multipic.},
author = {Du{\~{n}}abeitia, Jon Andoni and Crepaldi, Davide and Meyer, Antje S. and New, Boris and Pliatsikas, Christos and Smolka, Eva and Brysbaert, Marc},
doi = {10.1080/17470218.2017.1310261},
issn = {1747-0218},
journal = {Quarterly Journal of Experimental Psychology},
keywords = {Picture database,drawings,multilingual database,psycholinguistic resources,translation equivalents,visual complexity},
month = {apr},
number = {4},
pages = {808--816},
publisher = {SAGE PublicationsSage UK: London, England},
title = {{MultiPic: A standardized set of 750 drawings with norms for six European languages}},
url = {http://journals.sagepub.com/doi/10.1080/17470218.2017.1310261},
volume = {71},
year = {2018}
}
@article{Brysbaert2018,
abstract = {We present word prevalence data for 61,858 English words. Word prevalence refers to the number of people who know the word. The measure was obtained on the basis of an online crowdsourcing study involving over 220,000 people. Word prevalence data are useful for gauging the difficulty of words and, as such, for matching stimulus materials in experimental conditions or selecting stimulus materials for vocabulary tests. Word prevalence also predicts word processing times, over and above the effects of word frequency, word length, similarity to other words, and age of acquisition, in line with previous findings in the Dutch language.},
author = {Brysbaert, Marc and Mandera, Pawe{\l} and McCormick, Samantha F. and Keuleers, Emmanuel},
doi = {10.3758/s13428-018-1077-9},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {jul},
pages = {1--13},
publisher = {Springer US},
title = {{Word prevalence norms for 62,000 English lemmas}},
url = {http://link.springer.com/10.3758/s13428-018-1077-9},
year = {2018}
}
@article{Toglia2009,
abstract = {This article accompanies the archiving by the Pychonomic Society of the Toglia and Battig (1978) semantic word norms. Herein are outlined the various phases of the project, as well as the challenges that were faced in staying the course during the labor-intensive development of the norms. An examination of the number of citations of this set of norms over the years demonstrates a stable employment of these norms by investigators in many fields. Indeed, a concluding section details the wide range of research topics that have been studied with the use of this extensive set of word ratings. The complete Toglia and Battig article and norms may be downloaded as supplemental materials for this article from brm.psychonomic-journals.org/content/supplemental.},
author = {Toglia, Michael P.},
doi = {10.3758/BRM.41.2.531},
issn = {1554-351X},
journal = {Behavior Research Methods},
month = {may},
number = {2},
pages = {531--533},
publisher = {Springer-Verlag},
title = {{Withstanding the test of time: The 1978 semantic word norms}},
url = {http://www.springerlink.com/index/10.3758/BRM.41.2.531},
volume = {41},
year = {2009}
}
@article{Salvi2016,
abstract = {Rebus puzzles and compound remote associate problems have been successfully used to study problem solving. These problems are physically compact, often can be solved within short time limits, and have unambiguous solutions, and English versions have been normed for solving rates and levels of difficulty. Many studies on problem solving with sudden insight have taken advantage of these features in paradigms that require many quick solutions (e.g., solution priming, visual hemifield presentations, electroencephalography, fMRI, and eyetracking). In order to promote this vein of research in Italy, as well, we created and tested Italian versions of both of these tests. The data collected across three studies yielded a pool of 88 rebus puzzles and 122 compound remote associate problems within a moderate range of difficulty. This article provides both sets of problems with their normative data, for use in future research.},
author = {Salvi, Carola and Costantini, Giulio and Bricolo, Emanuela and Perugini, Marco and Beeman, Mark},
doi = {10.3758/s13428-015-0597-9},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {jun},
number = {2},
pages = {664--685},
publisher = {Springer US},
title = {{Validation of Italian rebus puzzles and compound remote associate problems}},
url = {http://link.springer.com/10.3758/s13428-015-0597-9},
volume = {48},
year = {2016}
}
@article{Knight2011,
abstract = {Recent research on anagram solution has produced two original findings. First, it has shown that a new bigram frequency measure called top rank, which is based on a comparison of summed bigram frequencies, is an important predictor of anagram difficulty. Second, it has suggested that the measures from a type count are better than token measures at predicting anagram difficulty. Testing these hypotheses has been difficult because the computation of the bigram statistics is difficult. We present a program that calculates bigram measures for two-to nine-letter words. We then show how the program can be used to compare the contribution of top rank and other bigram frequency measures derived from both a token and a type count. Contrary to previous research, we report that type measures are not better at predicting anagram solution times and that top rank is not the best predictor of anagram difficulty. Lastly we use this program to show that type bigram frequencies are not as good as token bigram frequencies at predicting word identification reaction time.},
author = {Knight, David and Muncer, Steven J.},
doi = {10.3758/s13428-011-0068-x},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {jun},
number = {2},
pages = {491--498},
publisher = {Springer-Verlag},
title = {{Type and token bigram frequencies for two-through nine-letter words and the prediction of anagram difficulty}},
url = {http://www.springerlink.com/index/10.3758/s13428-011-0068-x},
volume = {43},
year = {2011}
}
@article{Torrance2018,
abstract = {We describe the Multilanguage Written Picture Naming Dataset. This gives trial-level data and time and agreement norms for written naming of the 260 pictures of everyday objects that compose the colorized Snodgrass and Vanderwart picture set (Rossion {\&} Pourtois in Perception, 33, 217–236, 2004). Adult participants gave keyboarded responses in their first language under controlled experimental conditions (N = 1,274, with subsamples responding in Bulgarian, Dutch, English, Finnish, French, German, Greek, Icelandic, Italian, Norwegian, Portuguese, Russian, Spanish, and Swedish). We measured the time to initiate a response (RT) and interkeypress intervals, and calculated measures of name and spelling agreement. There was a tendency across all languages for quicker RTs to pictures with higher familiarity, image agreement, and name frequency, and with higher name agreement. Effects of spelling agreement and effects on output rates after writing onset were present in some, but not all, languages. Written naming therefore shows name retrieval effects that are similar to those found in speech, but our findings suggest the need for cross-language comparisons as we seek to understand the orthographic retrieval and/or assembly processes that are specific to written output.},
author = {Torrance, Mark and Nottbusch, Guido and Alves, Rui A. and Arf{\'{e}}, Barbara and Chanquoy, Lucile and Chukharev-Hudilainen, Evgeny and Dimakos, Ioannis and Fidalgo, Raquel and Hy{\"{o}}n{\"{a}}, Jukka and J{\'{o}}hannesson, {\'{O}}mar I. and Madjarov, George and Pauly, Dennis N. and Uppstad, Per Henning and van Waes, Luuk and Vernon, Michael and Wengelin, {\AA}sa},
doi = {10.3758/s13428-017-0902-x},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {apr},
number = {2},
pages = {744--758},
publisher = {Springer US},
title = {{Timed written picture naming in 14 European languages}},
url = {http://link.springer.com/10.3758/s13428-017-0902-x},
volume = {50},
year = {2018}
}
@article{Luke2018,
abstract = {This article presents the Provo Corpus, a corpus of eye-tracking data with accompanying predictability norms. The predictability norms for the Provo Corpus differ from those of other corpora. In addition to traditional cloze scores that estimate the predictability of the full orthographic form of each word, the Provo Corpus also includes measures of the predictability of the morpho-syntactic and semantic information for each word. This makes the Provo Corpus ideal for studying predictive processes in reading. Some analyses using these data have previously been reported elsewhere (Luke {\&} Christianson, 2016). The Provo Corpus is available for download on the Open Science Framework, at https://osf.io/sjefs .},
author = {Luke, Steven G. and Christianson, Kiel},
doi = {10.3758/s13428-017-0908-4},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {apr},
number = {2},
pages = {826--833},
publisher = {Springer US},
title = {{The Provo Corpus: A large eye-tracking corpus with predictability norms}},
url = {http://link.springer.com/10.3758/s13428-017-0908-4},
volume = {50},
year = {2018}
}
@article{Biemann2007,
abstract = {We describe the Leipzig Corpora collection (LCC), a freely available resource for corpora and corpus statistics covering more than 20 languages at the time being. Unified format and easy accessibility encourage incorporation of the data into many projects and render the collection a useful resource especially in multilingual settings and for small languages. The preparation of monolingual corpora of standard sizes from different sources (web, newspaper, Wikipedia) is described in detail.},
author = {Biemann, Chris and Heyer, Gerhard},
issn = {1747-9398},
journal = {Proceedings of Corpus {\ldots}},
pages = {1--13},
title = {{The Leipzig corpora collection-monolingual corpora of standard size}},
url = {http://www.researchgate.net/publication/228345579{\_}The{\_}Leipzig{\_}corpora{\_}collection-monolingual{\_}corpora{\_}of{\_}standard{\_}size/file/9fcfd507ea07d83c3a.pdf},
year = {2007}
}
@article{Cuetos2011,
abstract = {Recent studies have shown that word frequency estimates obtained from films and television subtitles are better to predict performance in word recognition experiments than the traditional word frequency estimates based on books and newspapers. In this study, we present a subtitle-based word frequency list for Spanish, one of the most widely spoken languages. The subtitle frequencies are based on a corpus of 41M words taken from contemporary movies and TV series (screened between 1990 and 2009). In addition, the frequencies have been validated by correlating them with the RTs from two megastudies involving 2,764 words each (lexical decision and word naming tasks). The subtitle frequencies explained 6{\%} more of the variance than the existing written frequencies in lexical decision, and 2{\%} extra in word naming.},
author = {Cuetos, Fernando and Glez-Nosti, Maria and Barb{\'{o}}n, Anal{\'{i}}a and Brysbaert, Marc},
doi = {10.1371/journal.pone.0010729},
isbn = {0211-2159},
issn = {15768597},
journal = {Psicol{\'{o}}gica},
pages = {133--143},
pmid = {20532192},
title = {{SUBTLEX-ESP: Spanish word frequencies based on film subtitles}},
url = {http://dialnet.unirioja.es/servlet/articulo?codigo=3663992},
volume = {32},
year = {2011}
}
@article{Leung2002,
abstract = {An adult language corpus of spoken Hong Kong Cantonese (HKCAC) has recently been developed consisting of spontaneous speech recorded from phone-in programs and forums on the radio in Hong Kong. The database represents the speech of a total of sixty-nine speakers in addition to the program hosts, and has approximately 170, 000 characters. It is believed that HKCAC will be of great value to linguists who are interested in studying Cantonese, and speech therapists and educators who work with the Cantonese speaking population. A search engine with a user-friendly interface has also been developed by using FileMaker Pro 4.0 (Chinese version). Apart from the basic frequency information and the display of search results in KWAL (Key Word And Line) format, the search engine also allows users to search for various phonetic realizations of a particular character or the set of characters associated with a particular syllable. The content and structure of the corpus, and the overall architecture as well as the technical aspects of the search engine are described. Search procedures are illustrated with examples. The paper ends with a discussion of the future development of HKCAC. {\textcopyright} 2001 John Benjamins Publishing Company.},
author = {Leung, M.-T. and Law, S.-P.},
doi = {10.1075/ijcl.6.2.06leu},
issn = {13846655},
journal = {International Journal of Corpus Linguistics},
number = {2},
pages = {305--325},
title = {{HKCAC: The Hong Kong Cantonese Adult Language Corpus}},
volume = {6},
year = {2002}
}
@article{Leding2007,
abstract = {In the typical memory conjunction experiment, participants are presented with two "parent" stimulus items (e.g., blackmail and jailbird) that are later recombined to form a "conjunction lure" (e.g., blackbird). This paradigm is an efficient way to test false memories because participants frequently show false recognition for the recombined features of the previously studied stimuli. Two experiments are reported in which normative data for 96 memory conjunction triplets are presented. The first experiment provides descriptive statistics for how often the conjunction triplets show true and false recognition. Due to the variance in the rates of false recognition for the conjunction lure, the second experiment was conducted to help build an understanding of the factors that affect the rate of false recognition of the conjunction lures. Conceptual overlap of the first parent word and the conjunction item predicted false recognition. Digital files containing norms for 96 memory conjunction triplets may be downloaded from www.psychonomic.org/archive.},
author = {Leding, Juliana K. and Lampinen, James Michael and Edwards, Norman W. and Odegard, Timothy N.},
doi = {10.3758/BF03192987},
issn = {1554351X},
journal = {Behavior Research Methods},
month = {nov},
number = {4},
pages = {920--925},
pmid = {18183909},
publisher = {Springer-Verlag},
title = {{The memory conjunction error paradigm: Normative data for conjunction triplets}},
url = {http://www.springerlink.com/index/10.3758/BF03192987},
volume = {39},
year = {2007}
}
@article{Tucker2018,
abstract = {The Massive Auditory Lexical Decision (MALD) database is an end-to-end, freely available auditory and production data set for speech and psycholinguistic research, providing time-aligned stimulus recordings for 26,793 words and 9592 pseudowords, and response data for 227,179 auditory lexical decisions from 231 unique monolingual English listeners. In addition to the experimental data, we provide many precompiled listener- and item-level descriptor variables. This data set makes it easy to explore responses, build and test theories, and compare a wide range of models. We present summary statistics and analyses.},
author = {Tucker, Benjamin V. and Brenner, Daniel and Danielson, D. Kyle and Kelley, Matthew C. and Nenadi{\'{c}}, Filip and Sims, Michelle},
doi = {10.3758/s13428-018-1056-1},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {jun},
pages = {1--18},
publisher = {Springer US},
title = {{The Massive Auditory Lexical Decision (MALD) database}},
url = {http://link.springer.com/10.3758/s13428-018-1056-1},
year = {2018}
}
@article{Rocklage2018,
abstract = {The rapid expansion of the Internet and the availability of vast repositories of natural text provide researchers with the immense opportunity to study human reactions, opinions, and behavior on a massive scale. To help researchers take advantage of this new frontier, the present work introduces and validates the Evaluative Lexicon 2.0 (EL 2.0)—a quantitative linguistic tool that specializes in the measurement of the emotionality of individuals' evaluations in text. Specifically, the EL 2.0 utilizes natural language to measure the emotionality, extremity, and valence of evaluative reactions and attitudes. The present article describes how we used a combination of 9 million real-world online reviews and over 1,500 participant judges to construct the EL 2.0 and an additional 5.7 million reviews to validate it. To assess its unique value, the EL 2.0 is compared with two other prominent text analysis tools—LIWC and Warriner et al.'s (Behavior Research Methods, 45, 1191–1207, 2013) wordlist. The EL 2.0 is comparatively distinct in its ability to measure emotionality and explains a significantly greater proportion of the variance in individuals' evaluations. The EL 2.0 can be used with any data that involve speech or writing and provides researchers with the opportunity to capture evaluative reactions both in the laboratory and “in the wild.” The EL 2.0 wordlist and normative emotionality, extremity, and valence ratings are freely available from www.evaluativelexicon.com.},
author = {Rocklage, Matthew D. and Rucker, Derek D. and Nordgren, Loran F.},
doi = {10.3758/s13428-017-0975-6},
issn = {1554-3528},
journal = {Behavior Research Methods},
month = {aug},
number = {4},
pages = {1327--1344},
publisher = {Springer US},
title = {{The Evaluative Lexicon 2.0: The measurement of emotionality, extremity, and valence in language}},
url = {http://link.springer.com/10.3758/s13428-017-0975-6},
volume = {50},
year = {2018}
}
@article{Lassalle2018,
abstract = {In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice database available for scientific use, containing a total of 2,159 validated emotional voice stimuli. The EU-Emotion voice stimuli consist of audio-recordings of 54 actors, each uttering sentences with the intention of conveying 20 different emotional states (plus neutral). The database is organized in three separate emotional voice stimulus sets in three different languages (British English, Swedish, and Hebrew). These three sets were independently validated by large pools of participants in the UK, Sweden, and Israel. Participants' validation of the stimuli included emotion categorization accuracy and ratings of emotional valence, intensity, and arousal. Here we report the validation results for the emotional voice stimuli from each site and provide validation data to download as a supplement, so as to make these data available to the scientific community. The EU-Emotion Voice Database is part of the EU-Emotion Stimulus Set, which in addition contains stimuli of emotions expressed in the visual modality (by facial expression, body language, and social scene) and is freely available to use for academic research purposes.},
author = {Lassalle, Amandine and Pig