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b8a600a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 | """Canonicalise numbers in Azerbaijani text, for scoring only.
The corpora disagree about how to write a number, and so does any single one of
them: our own call corpus writes digits on 14.3% of lines and number words on
15.5%. Soniox writes "108" for an identifier and "iki min üçüncü" for a date,
which is correct on both counts and unscoreable against a model that chose the
other form. Edit distance sees unrelated tokens and charges a full substitution
for a number the model got right.
So this runs on the reference *and* the hypothesis before scoring, never on
training targets. Two rules make it safe:
digits -> words, never the reverse. "2003" -> "iki min üç" is deterministic.
"bir" -> "1" is wrong most of the time, because bir is also the indefinite
article: "bir az" is "a little", not "1 az". Rewriting words to digits would
corrupt ordinary prose across every corpus we have.
ordinals collapse to cardinals on both sides. "2003-cü" and "iki min üçüncü"
both become "iki min üç". That is not a correct transcription of either, and
it does not need to be -- it is a comparison key, and its only job is that two
spellings of the same spoken number produce the same tokens.
Roman numerals are folded in too: the corpora write "XIX əsr" where a model
emits "19-cu əsr", which is the same disagreement wearing a different alphabet.
"""
from __future__ import annotations
import re
ONES = ["", "bir", "iki", "üç", "dörd", "beş", "altı", "yeddi", "səkkiz", "doqquz"]
TENS = ["", "on", "iyirmi", "otuz", "qırx", "əlli", "altmış", "yetmiş",
"səksən", "doxsan"]
SCALES = [(10 ** 9, "milyard"), (10 ** 6, "milyon"), (1000, "min"), (100, "yüz")]
# Ordinal word -> the cardinal it is built from. Listed rather than derived
# because the suffix follows vowel harmony and the stems are not all regular
# (doqquz -> doqquzuncu, altı -> altıncı, qırx -> qırxıncı).
ORDINALS = {
"birinci": "bir", "ikinci": "iki", "üçüncü": "üç", "dördüncü": "dörd",
"beşinci": "beş", "altıncı": "altı", "yeddinci": "yeddi",
"səkkizinci": "səkkiz", "doqquzuncu": "doqquz", "onuncu": "on",
"iyirminci": "iyirmi", "otuzuncu": "otuz", "qırxıncı": "qırx",
"əllinci": "əlli", "altmışıncı": "altmış", "yetmişinci": "yetmiş",
"səksəninci": "səksən", "doxsanıncı": "doxsan", "yüzüncü": "yüz",
"mininci": "min", "milyonuncu": "milyon",
}
ROMAN_VALUES = {"i": 1, "v": 5, "x": 10, "l": 50, "c": 100, "d": 500, "m": 1000}
# Roman numerals up to 99, which covers what actually appears here: centuries
# and volume numbers. Written as the standard subtractive grammar rather than a
# flat alternation, because a flat one cannot backtrack into "XIX" -- it commits
# to the leading X and then finds an I it has no rule for.
ROMAN_RX = re.compile(
r"(?<![\w])((?=[IVXL])(?:XC|XL|L?X{0,3})(?:IX|IV|V?I{0,3}))(?![\w])")
# A digit run, optionally carrying an Azerbaijani ordinal suffix: 19-cu, 2003-cü,
# 1-ci. The suffix is dropped, matching what happens to the ordinal words.
DIGIT_RX = re.compile(r"(?<!\w)(\d+)\s*-?\s*(?:[cç][ıiuü]|[ıiuü]nc[ıiuü])?(?!\w)",
re.IGNORECASE)
def int_to_az_words(n: int) -> str:
"""Cardinal form. 0 -> sıfır, 100 -> yüz (not "bir yüz"), 1000 -> min."""
if n == 0:
return "sıfır"
if n < 0:
return "mənfi " + int_to_az_words(-n)
out: list[str] = []
for value, name in SCALES:
if n >= value:
count = n // value
# "yüz" and "min" stand alone at a count of one; "milyon" and
# "milyard" take an explicit "bir".
if count > 1 or value >= 10 ** 6:
out.append(int_to_az_words(count))
out.append(name)
n %= value
if n >= 10:
out.append(TENS[n // 10])
n %= 10
if n > 0:
out.append(ONES[n])
return " ".join(out)
def roman_to_int(s: str) -> int | None:
s = s.lower()
total = prev = 0
for ch in reversed(s):
v = ROMAN_VALUES.get(ch)
if v is None:
return None
total += -v if v < prev else v
prev = max(prev, v)
return total or None
def _expand_digits(m: re.Match) -> str:
raw = m.group(1)
# A long run is an identifier -- a phone number, an account -- and is read
# out rather than said as one quantity. Grouping it in pairs matches how
# these are spoken and, more to the point, matches whatever the other side
# did with the same digits.
if len(raw) > 6:
return " ".join(int_to_az_words(int(raw[i:i + 2]))
for i in range(0, len(raw), 2))
try:
return int_to_az_words(int(raw))
except ValueError:
return raw
def _expand_roman(m: re.Match) -> str:
s = m.group(1)
# A single character is left alone. In Azerbaijani "I" is the capital
# dotless i and "V" and "L" start ordinary words, so a one-letter match is
# far more often a letter than a numeral.
if len(s) < 2:
return s
v = roman_to_int(s)
return int_to_az_words(v) if v else s
def normalise_numbers(text: str, romans: bool = True) -> str:
"""Canonical number form, for comparison only -- never for training text."""
if not text:
return text
if romans:
text = ROMAN_RX.sub(_expand_roman, text)
text = DIGIT_RX.sub(_expand_digits, text)
# ordinal words down to their cardinals, so "üçüncü" meets the "üç" that
# "2003-cü" just became
return " ".join(ORDINALS.get(w.lower(), w) for w in text.split())
if __name__ == "__main__":
CASES = [
("2003-cü ildə", "iki min üç ildə"),
("İki min üçüncü ildə", "İki min üç ildə"),
("XIX əsrin əvvəllərində", "on doqquz əsrin əvvəllərində"),
("19-cu əsrin əvvəllərində", "on doqquz əsrin əvvəllərində"),
("27 manat", "iyirmi yeddi manat"),
("108, düzdürmü?", "yüz səkkiz, düzdürmü?"),
("3 dəqiqədən sonra", "üç dəqiqədən sonra"),
("bir az gözlə", "bir az gözlə"), # the article must survive
("Birinci yaşayış yeri", "bir yaşayış yeri"),
("1000 nəfər", "min nəfər"),
("2500", "iki min beş yüz"),
("0", "sıfır"),
]
bad = 0
for src, want in CASES:
got = normalise_numbers(src)
ok = got == want
bad += not ok
print(f"{'ok ' if ok else 'FAIL'} {src!r}\n -> {got!r}"
+ ("" if ok else f"\n want {want!r}"))
print(f"\n{len(CASES)-bad}/{len(CASES)} passed")
raise SystemExit(1 if bad else 0)
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