spaCy/spacy/lang/ar/tokenizer_exceptions.py

48 lines
1.5 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from ...symbols import ORTH, LEMMA, TAG, NORM, PRON_LEMMA
import re
_exc = {}
# time
for exc_data in [
{LEMMA: "قبل الميلاد", ORTH: "ق.م"},
{LEMMA: "بعد الميلاد", ORTH: "ب. م"},
{LEMMA: "ميلادي", ORTH: ""},
{LEMMA: "هجري", ORTH: ".هـ"},
{LEMMA: "توفي", ORTH: ""}]:
_exc[exc_data[ORTH]] = [exc_data]
# scientific abv.
for exc_data in [
{LEMMA: "صلى الله عليه وسلم", ORTH: "صلعم"},
{LEMMA: "الشارح", ORTH: "الشـ"},
{LEMMA: "الظاهر", ORTH: "الظـ"},
{LEMMA: "أيضًا", ORTH: "أيضـ"},
{LEMMA: "إلى آخره", ORTH: "إلخ"},
{LEMMA: "انتهى", ORTH: "اهـ"},
{LEMMA: "حدّثنا", ORTH: "ثنا"},
{LEMMA: "حدثني", ORTH: "ثنى"},
{LEMMA: "أنبأنا", ORTH: "أنا"},
{LEMMA: "أخبرنا", ORTH: "نا"},
{LEMMA: "مصدر سابق", ORTH: "م. س"},
{LEMMA: "مصدر نفسه", ORTH: "م. ن"}]:
_exc[exc_data[ORTH]] = [exc_data]
# other abv.
for exc_data in [
{LEMMA: "دكتور", ORTH: "د."},
{LEMMA: "أستاذ دكتور", ORTH: "أ.د"},
{LEMMA: "أستاذ", ORTH: "أ."},
{LEMMA: "بروفيسور", ORTH: "ب."}]:
_exc[exc_data[ORTH]] = [exc_data]
for exc_data in [
{LEMMA: "تلفون", ORTH: "ت."},
{LEMMA: "صندوق بريد", ORTH: "ص.ب"}]:
_exc[exc_data[ORTH]] = [exc_data]
TOKENIZER_EXCEPTIONS = _exc