spaCy/spacy/lang/ca/tokenizer_exceptions.py
2019-12-25 17:59:52 +01:00

39 lines
1.1 KiB
Python

from ...symbols import ORTH, LEMMA
_exc = {}
for exc_data in [
{ORTH: "aprox.", LEMMA: "aproximadament"},
{ORTH: "pàg.", LEMMA: "pàgina"},
{ORTH: "p.ex.", LEMMA: "per exemple"},
{ORTH: "gen.", LEMMA: "gener"},
{ORTH: "feb.", LEMMA: "febrer"},
{ORTH: "abr.", LEMMA: "abril"},
{ORTH: "jul.", LEMMA: "juliol"},
{ORTH: "set.", LEMMA: "setembre"},
{ORTH: "oct.", LEMMA: "octubre"},
{ORTH: "nov.", LEMMA: "novembre"},
{ORTH: "dec.", LEMMA: "desembre"},
{ORTH: "Dr.", LEMMA: "doctor"},
{ORTH: "Sr.", LEMMA: "senyor"},
{ORTH: "Sra.", LEMMA: "senyora"},
{ORTH: "Srta.", LEMMA: "senyoreta"},
{ORTH: "núm", LEMMA: "número"},
{ORTH: "St.", LEMMA: "sant"},
{ORTH: "Sta.", LEMMA: "santa"},
]:
_exc[exc_data[ORTH]] = [exc_data]
# Times
_exc["12m."] = [{ORTH: "12"}, {ORTH: "m.", LEMMA: "p.m."}]
for h in range(1, 12 + 1):
for period in ["a.m.", "am"]:
_exc[f"{h}{period}"] = [{ORTH: f"{h}"}, {ORTH: period, LEMMA: "a.m."}]
for period in ["p.m.", "pm"]:
_exc[f"{h}{period}"] = [{ORTH: f"{h}"}, {ORTH: period, LEMMA: "p.m."}]
TOKENIZER_EXCEPTIONS = _exc