"""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"(? 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)