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* tests : add script to benchmark whisper.cpp on LibriSpeech corpus LibriSpeech is a widely-used benchmark dataset for training and testing speech recognition models. This adds a set of scripts to measure the recognition accuracy of whisper.cpp models, following the common benchmark standards. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * Document how to prepare `whisper-cli` and model files Feedback from Daniel Bevenius. This adds a short code example how to prepare the `whisper-cli` command, to make the initial setup step a little bit clearer. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> * tests : Simplify how to set up Python environment Based on a feedback from Georgi Gerganov. Instead of setting up a virtual environment in Makefile, let users set up the Python environment. This is better since users may have their own preferred workflow/toolkit. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
551 lines
20 KiB
Python
551 lines
20 KiB
Python
import json
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import os
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import re
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from fractions import Fraction
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from typing import Iterator, List, Match, Optional, Union
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from more_itertools import windowed
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from .basic import remove_symbols_and_diacritics
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class EnglishNumberNormalizer:
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"""
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Convert any spelled-out numbers into arabic numbers, while handling:
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- remove any commas
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- keep the suffixes such as: `1960s`, `274th`, `32nd`, etc.
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- spell out currency symbols after the number. e.g. `$20 million` -> `20000000 dollars`
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- spell out `one` and `ones`
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- interpret successive single-digit numbers as nominal: `one oh one` -> `101`
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"""
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def __init__(self):
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super().__init__()
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self.zeros = {"o", "oh", "zero"}
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self.ones = {
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name: i
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for i, name in enumerate(
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[
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"one",
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"two",
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"three",
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"four",
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"five",
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"six",
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"seven",
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"eight",
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"nine",
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"ten",
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"eleven",
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"twelve",
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"thirteen",
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"fourteen",
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"fifteen",
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"sixteen",
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"seventeen",
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"eighteen",
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"nineteen",
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],
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start=1,
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)
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}
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self.ones_plural = {
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"sixes" if name == "six" else name + "s": (value, "s")
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for name, value in self.ones.items()
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}
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self.ones_ordinal = {
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"zeroth": (0, "th"),
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"first": (1, "st"),
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"second": (2, "nd"),
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"third": (3, "rd"),
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"fifth": (5, "th"),
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"twelfth": (12, "th"),
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**{
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name + ("h" if name.endswith("t") else "th"): (value, "th")
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for name, value in self.ones.items()
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if value > 3 and value != 5 and value != 12
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},
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}
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self.ones_suffixed = {**self.ones_plural, **self.ones_ordinal}
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self.tens = {
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"twenty": 20,
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"thirty": 30,
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"forty": 40,
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"fifty": 50,
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"sixty": 60,
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"seventy": 70,
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"eighty": 80,
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"ninety": 90,
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}
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self.tens_plural = {
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name.replace("y", "ies"): (value, "s") for name, value in self.tens.items()
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}
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self.tens_ordinal = {
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name.replace("y", "ieth"): (value, "th")
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for name, value in self.tens.items()
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}
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self.tens_suffixed = {**self.tens_plural, **self.tens_ordinal}
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self.multipliers = {
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"hundred": 100,
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"thousand": 1_000,
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"million": 1_000_000,
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"billion": 1_000_000_000,
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"trillion": 1_000_000_000_000,
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"quadrillion": 1_000_000_000_000_000,
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"quintillion": 1_000_000_000_000_000_000,
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"sextillion": 1_000_000_000_000_000_000_000,
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"septillion": 1_000_000_000_000_000_000_000_000,
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"octillion": 1_000_000_000_000_000_000_000_000_000,
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"nonillion": 1_000_000_000_000_000_000_000_000_000_000,
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"decillion": 1_000_000_000_000_000_000_000_000_000_000_000,
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}
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self.multipliers_plural = {
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name + "s": (value, "s") for name, value in self.multipliers.items()
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}
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self.multipliers_ordinal = {
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name + "th": (value, "th") for name, value in self.multipliers.items()
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}
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self.multipliers_suffixed = {
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**self.multipliers_plural,
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**self.multipliers_ordinal,
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}
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self.decimals = {*self.ones, *self.tens, *self.zeros}
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self.preceding_prefixers = {
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"minus": "-",
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"negative": "-",
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"plus": "+",
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"positive": "+",
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}
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self.following_prefixers = {
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"pound": "£",
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"pounds": "£",
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"euro": "€",
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"euros": "€",
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"dollar": "$",
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"dollars": "$",
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"cent": "¢",
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"cents": "¢",
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}
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self.prefixes = set(
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list(self.preceding_prefixers.values())
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+ list(self.following_prefixers.values())
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)
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self.suffixers = {
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"per": {"cent": "%"},
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"percent": "%",
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}
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self.specials = {"and", "double", "triple", "point"}
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self.words = set(
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[
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key
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for mapping in [
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self.zeros,
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self.ones,
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self.ones_suffixed,
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self.tens,
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self.tens_suffixed,
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self.multipliers,
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self.multipliers_suffixed,
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self.preceding_prefixers,
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self.following_prefixers,
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self.suffixers,
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self.specials,
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]
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for key in mapping
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]
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)
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self.literal_words = {"one", "ones"}
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def process_words(self, words: List[str]) -> Iterator[str]:
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prefix: Optional[str] = None
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value: Optional[Union[str, int]] = None
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skip = False
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def to_fraction(s: str):
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try:
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return Fraction(s)
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except ValueError:
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return None
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def output(result: Union[str, int]):
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nonlocal prefix, value
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result = str(result)
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if prefix is not None:
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result = prefix + result
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value = None
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prefix = None
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return result
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if len(words) == 0:
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return
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for prev, current, next in windowed([None] + words + [None], 3):
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if skip:
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skip = False
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continue
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next_is_numeric = next is not None and re.match(r"^\d+(\.\d+)?$", next)
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has_prefix = current[0] in self.prefixes
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current_without_prefix = current[1:] if has_prefix else current
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if re.match(r"^\d+(\.\d+)?$", current_without_prefix):
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# arabic numbers (potentially with signs and fractions)
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f = to_fraction(current_without_prefix)
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assert f is not None
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if value is not None:
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if isinstance(value, str) and value.endswith("."):
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# concatenate decimals / ip address components
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value = str(value) + str(current)
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continue
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else:
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yield output(value)
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prefix = current[0] if has_prefix else prefix
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if f.denominator == 1:
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value = f.numerator # store integers as int
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else:
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value = current_without_prefix
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elif current not in self.words:
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# non-numeric words
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if value is not None:
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yield output(value)
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yield output(current)
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elif current in self.zeros:
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value = str(value or "") + "0"
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elif current in self.ones:
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ones = self.ones[current]
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if value is None:
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value = ones
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elif isinstance(value, str) or prev in self.ones:
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if (
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prev in self.tens and ones < 10
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): # replace the last zero with the digit
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assert value[-1] == "0"
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value = value[:-1] + str(ones)
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else:
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value = str(value) + str(ones)
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elif ones < 10:
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if value % 10 == 0:
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value += ones
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else:
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value = str(value) + str(ones)
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else: # eleven to nineteen
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if value % 100 == 0:
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value += ones
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else:
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value = str(value) + str(ones)
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elif current in self.ones_suffixed:
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# ordinal or cardinal; yield the number right away
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ones, suffix = self.ones_suffixed[current]
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if value is None:
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yield output(str(ones) + suffix)
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elif isinstance(value, str) or prev in self.ones:
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if prev in self.tens and ones < 10:
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assert value[-1] == "0"
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yield output(value[:-1] + str(ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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elif ones < 10:
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if value % 10 == 0:
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yield output(str(value + ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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else: # eleven to nineteen
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if value % 100 == 0:
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yield output(str(value + ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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value = None
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elif current in self.tens:
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tens = self.tens[current]
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if value is None:
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value = tens
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elif isinstance(value, str):
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value = str(value) + str(tens)
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else:
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if value % 100 == 0:
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value += tens
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else:
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value = str(value) + str(tens)
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elif current in self.tens_suffixed:
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# ordinal or cardinal; yield the number right away
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tens, suffix = self.tens_suffixed[current]
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if value is None:
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yield output(str(tens) + suffix)
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elif isinstance(value, str):
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yield output(str(value) + str(tens) + suffix)
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else:
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if value % 100 == 0:
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yield output(str(value + tens) + suffix)
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else:
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yield output(str(value) + str(tens) + suffix)
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elif current in self.multipliers:
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multiplier = self.multipliers[current]
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if value is None:
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value = multiplier
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elif isinstance(value, str) or value == 0:
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f = to_fraction(value)
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p = f * multiplier if f is not None else None
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if f is not None and p.denominator == 1:
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value = p.numerator
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else:
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yield output(value)
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value = multiplier
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else:
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before = value // 1000 * 1000
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residual = value % 1000
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value = before + residual * multiplier
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elif current in self.multipliers_suffixed:
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multiplier, suffix = self.multipliers_suffixed[current]
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if value is None:
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yield output(str(multiplier) + suffix)
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elif isinstance(value, str):
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f = to_fraction(value)
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p = f * multiplier if f is not None else None
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if f is not None and p.denominator == 1:
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yield output(str(p.numerator) + suffix)
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else:
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yield output(value)
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yield output(str(multiplier) + suffix)
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else: # int
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before = value // 1000 * 1000
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residual = value % 1000
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value = before + residual * multiplier
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yield output(str(value) + suffix)
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value = None
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elif current in self.preceding_prefixers:
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# apply prefix (positive, minus, etc.) if it precedes a number
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if value is not None:
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yield output(value)
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if next in self.words or next_is_numeric:
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prefix = self.preceding_prefixers[current]
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else:
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yield output(current)
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elif current in self.following_prefixers:
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# apply prefix (dollars, cents, etc.) only after a number
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if value is not None:
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prefix = self.following_prefixers[current]
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yield output(value)
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else:
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yield output(current)
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elif current in self.suffixers:
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# apply suffix symbols (percent -> '%')
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if value is not None:
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suffix = self.suffixers[current]
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if isinstance(suffix, dict):
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if next in suffix:
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yield output(str(value) + suffix[next])
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skip = True
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else:
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yield output(value)
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yield output(current)
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else:
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yield output(str(value) + suffix)
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else:
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yield output(current)
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elif current in self.specials:
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if next not in self.words and not next_is_numeric:
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# apply special handling only if the next word can be numeric
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if value is not None:
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yield output(value)
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yield output(current)
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elif current == "and":
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# ignore "and" after hundreds, thousands, etc.
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if prev not in self.multipliers:
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if value is not None:
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yield output(value)
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yield output(current)
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elif current == "double" or current == "triple":
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if next in self.ones or next in self.zeros:
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repeats = 2 if current == "double" else 3
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ones = self.ones.get(next, 0)
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value = str(value or "") + str(ones) * repeats
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skip = True
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else:
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if value is not None:
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yield output(value)
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yield output(current)
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elif current == "point":
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if next in self.decimals or next_is_numeric:
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value = str(value or "") + "."
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else:
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# should all have been covered at this point
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raise ValueError(f"Unexpected token: {current}")
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else:
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# all should have been covered at this point
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raise ValueError(f"Unexpected token: {current}")
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if value is not None:
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yield output(value)
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def preprocess(self, s: str):
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# replace "<number> and a half" with "<number> point five"
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results = []
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segments = re.split(r"\band\s+a\s+half\b", s)
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for i, segment in enumerate(segments):
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if len(segment.strip()) == 0:
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continue
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if i == len(segments) - 1:
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results.append(segment)
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else:
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results.append(segment)
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last_word = segment.rsplit(maxsplit=2)[-1]
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if last_word in self.decimals or last_word in self.multipliers:
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results.append("point five")
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else:
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results.append("and a half")
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s = " ".join(results)
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# put a space at number/letter boundary
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s = re.sub(r"([a-z])([0-9])", r"\1 \2", s)
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s = re.sub(r"([0-9])([a-z])", r"\1 \2", s)
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# but remove spaces which could be a suffix
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s = re.sub(r"([0-9])\s+(st|nd|rd|th|s)\b", r"\1\2", s)
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return s
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|
|
|
def postprocess(self, s: str):
|
|
def combine_cents(m: Match):
|
|
try:
|
|
currency = m.group(1)
|
|
integer = m.group(2)
|
|
cents = int(m.group(3))
|
|
return f"{currency}{integer}.{cents:02d}"
|
|
except ValueError:
|
|
return m.string
|
|
|
|
def extract_cents(m: Match):
|
|
try:
|
|
return f"¢{int(m.group(1))}"
|
|
except ValueError:
|
|
return m.string
|
|
|
|
# apply currency postprocessing; "$2 and ¢7" -> "$2.07"
|
|
s = re.sub(r"([€£$])([0-9]+) (?:and )?¢([0-9]{1,2})\b", combine_cents, s)
|
|
s = re.sub(r"[€£$]0.([0-9]{1,2})\b", extract_cents, s)
|
|
|
|
# write "one(s)" instead of "1(s)", just for the readability
|
|
s = re.sub(r"\b1(s?)\b", r"one\1", s)
|
|
|
|
return s
|
|
|
|
def __call__(self, s: str):
|
|
s = self.preprocess(s)
|
|
s = " ".join(word for word in self.process_words(s.split()) if word is not None)
|
|
s = self.postprocess(s)
|
|
|
|
return s
|
|
|
|
|
|
class EnglishSpellingNormalizer:
|
|
"""
|
|
Applies British-American spelling mappings as listed in [1].
|
|
|
|
[1] https://www.tysto.com/uk-us-spelling-list.html
|
|
"""
|
|
|
|
def __init__(self):
|
|
mapping_path = os.path.join(os.path.dirname(__file__), "english.json")
|
|
self.mapping = json.load(open(mapping_path))
|
|
|
|
def __call__(self, s: str):
|
|
return " ".join(self.mapping.get(word, word) for word in s.split())
|
|
|
|
|
|
class EnglishTextNormalizer:
|
|
def __init__(self):
|
|
self.ignore_patterns = r"\b(hmm|mm|mhm|mmm|uh|um)\b"
|
|
self.replacers = {
|
|
# common contractions
|
|
r"\bwon't\b": "will not",
|
|
r"\bcan't\b": "can not",
|
|
r"\blet's\b": "let us",
|
|
r"\bain't\b": "aint",
|
|
r"\by'all\b": "you all",
|
|
r"\bwanna\b": "want to",
|
|
r"\bgotta\b": "got to",
|
|
r"\bgonna\b": "going to",
|
|
r"\bi'ma\b": "i am going to",
|
|
r"\bimma\b": "i am going to",
|
|
r"\bwoulda\b": "would have",
|
|
r"\bcoulda\b": "could have",
|
|
r"\bshoulda\b": "should have",
|
|
r"\bma'am\b": "madam",
|
|
# contractions in titles/prefixes
|
|
r"\bmr\b": "mister ",
|
|
r"\bmrs\b": "missus ",
|
|
r"\bst\b": "saint ",
|
|
r"\bdr\b": "doctor ",
|
|
r"\bprof\b": "professor ",
|
|
r"\bcapt\b": "captain ",
|
|
r"\bgov\b": "governor ",
|
|
r"\bald\b": "alderman ",
|
|
r"\bgen\b": "general ",
|
|
r"\bsen\b": "senator ",
|
|
r"\brep\b": "representative ",
|
|
r"\bpres\b": "president ",
|
|
r"\brev\b": "reverend ",
|
|
r"\bhon\b": "honorable ",
|
|
r"\basst\b": "assistant ",
|
|
r"\bassoc\b": "associate ",
|
|
r"\blt\b": "lieutenant ",
|
|
r"\bcol\b": "colonel ",
|
|
r"\bjr\b": "junior ",
|
|
r"\bsr\b": "senior ",
|
|
r"\besq\b": "esquire ",
|
|
# prefect tenses, ideally it should be any past participles, but it's harder..
|
|
r"'d been\b": " had been",
|
|
r"'s been\b": " has been",
|
|
r"'d gone\b": " had gone",
|
|
r"'s gone\b": " has gone",
|
|
r"'d done\b": " had done", # "'s done" is ambiguous
|
|
r"'s got\b": " has got",
|
|
# general contractions
|
|
r"n't\b": " not",
|
|
r"'re\b": " are",
|
|
r"'s\b": " is",
|
|
r"'d\b": " would",
|
|
r"'ll\b": " will",
|
|
r"'t\b": " not",
|
|
r"'ve\b": " have",
|
|
r"'m\b": " am",
|
|
}
|
|
self.standardize_numbers = EnglishNumberNormalizer()
|
|
self.standardize_spellings = EnglishSpellingNormalizer()
|
|
|
|
def __call__(self, s: str):
|
|
s = s.lower()
|
|
|
|
s = re.sub(r"[<\[][^>\]]*[>\]]", "", s) # remove words between brackets
|
|
s = re.sub(r"\(([^)]+?)\)", "", s) # remove words between parenthesis
|
|
s = re.sub(self.ignore_patterns, "", s)
|
|
s = re.sub(r"\s+'", "'", s) # when there's a space before an apostrophe
|
|
|
|
for pattern, replacement in self.replacers.items():
|
|
s = re.sub(pattern, replacement, s)
|
|
|
|
s = re.sub(r"(\d),(\d)", r"\1\2", s) # remove commas between digits
|
|
s = re.sub(r"\.([^0-9]|$)", r" \1", s) # remove periods not followed by numbers
|
|
s = remove_symbols_and_diacritics(s, keep=".%$¢€£") # keep numeric symbols
|
|
|
|
s = self.standardize_numbers(s)
|
|
s = self.standardize_spellings(s)
|
|
|
|
# now remove prefix/suffix symbols that are not preceded/followed by numbers
|
|
s = re.sub(r"[.$¢€£]([^0-9])", r" \1", s)
|
|
s = re.sub(r"([^0-9])%", r"\1 ", s)
|
|
|
|
s = re.sub(r"\s+", " ", s) # replace any successive whitespaces with a space
|
|
|
|
return s
|