spaCy/spacy/en/language_data.py

# encoding: utf8
from __future__ import unicode_literals

from .. import language_data as base
from ..language_data import update_exc, strings_to_exc, expand_exc
from ..symbols import ORTH, LEMMA

from .tag_map import TAG_MAP
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, ORTH_ONLY
from .lemma_rules import LEMMA_RULES
from .morph_rules import MORPH_RULES


def get_time_exc(hours):
    exc = {}
    for hour in hours:
        exc["%da.m." % hour] = [
            {ORTH: hour},
            {ORTH: "a.m."}
        ]

        exc["%dp.m." % hour] = [
            {ORTH: hour},
            {ORTH: "p.m."}
        ]

        exc["%dam" % hour] = [
            {ORTH: hour},
            {ORTH: "am", LEMMA: "a.m."}
        ]

        exc["%dpm" % hour] = [
            {ORTH: hour},
            {ORTH: "pm", LEMMA: "p.m."}
        ]
    return exc


TAG_MAP = dict(TAG_MAP)
STOP_WORDS = set(STOP_WORDS)


TOKENIZER_EXCEPTIONS = dict(TOKENIZER_EXCEPTIONS)
update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(ORTH_ONLY))
update_exc(TOKENIZER_EXCEPTIONS, get_time_exc(range(1, 12 + 1)))
update_exc(TOKENIZER_EXCEPTIONS, expand_exc(TOKENIZER_EXCEPTIONS, "'", "’"))
update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.EMOTICONS))
update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.ABBREVIATIONS))


__all__ = ["TOKENIZER_EXCEPTIONS", "TAG_MAP", "STOP_WORDS", "LEMMA_RULES", "MORPH_RULES"]