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Merge pull request #872 from banglakit/bn-improvements

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[Bengali] basic tag map, morph, lemma rules and exceptions
This commit is contained in:
Ines Montani 2017-03-04 11:36:24 +01:00 committed by GitHub
commit bb959692f5
6 changed files with 229 additions and 1 deletions
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2
spacy/bn/__init__.py
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@ -15,7 +15,9 @@ class Bengali(Language):
lex_attr_getters[LANG] = lambda text: 'bn'
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
tag_map = TAG_MAP
stop_words = STOP_WORDS
lemma_rules = LEMMA_RULES
prefixes = tuple(TOKENIZER_PREFIXES)
suffixes = tuple(TOKENIZER_SUFFIXES)

11
spacy/bn/language_data.py
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@ -4,15 +4,24 @@ from __future__ import unicode_literals
from spacy.language_data import strings_to_exc, update_exc
from .punctuation import *
from .stop_words import STOP_WORDS
from .tag_map import TAG_MAP as TAG_MAP_BN
from .morph_rules import MORPH_RULES
from .lemma_rules import LEMMA_RULES
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS as TOKENIZER_EXCEPTIONS_BN
from .. import language_data as base
STOP_WORDS = set(STOP_WORDS)
TAG_MAP = base.TAG_MAP
TAG_MAP.update(TAG_MAP_BN)
TOKENIZER_EXCEPTIONS = strings_to_exc(base.EMOTICONS)
update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.ABBREVIATIONS))
TOKENIZER_EXCEPTIONS.update(TOKENIZER_EXCEPTIONS_BN)
TOKENIZER_PREFIXES = TOKENIZER_PREFIXES
TOKENIZER_SUFFIXES = TOKENIZER_SUFFIXES
TOKENIZER_INFIXES = TOKENIZER_INFIXES
__all__ = ["TOKENIZER_EXCEPTIONS", "STOP_WORDS", "TOKENIZER_PREFIXES", "TOKENIZER_SUFFIXES", "TOKENIZER_INFIXES"]
__all__ = ["TOKENIZER_EXCEPTIONS", "STOP_WORDS", "TAG_MAP", "MORPH_RULES", "LEMMA_RULES",
"TOKENIZER_PREFIXES", "TOKENIZER_SUFFIXES", "TOKENIZER_INFIXES"]

68
spacy/bn/lemma_rules.py Normal file
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@ -0,0 +1,68 @@
# encoding: utf8
from __future__ import unicode_literals
# Source: উচ্চতর বাংলা ব্যাকরণ ও রচনা - অধ্যাপক নিরঞ্জন অধিকারী ও অধ্যাপক ড. সফিউদ্দিন আহমদ
LEMMA_RULES = {
"noun": [
["টা", ""],
["টি", ""],
["খান", ""],
["খানা", ""],
["খানি", ""],
["গাছা", ""],
["গাছি", ""],
["ছড়া", ""],
["কে", ""],
["ে", ""],
["তে", ""],
["র", ""],
["রা", ""],
["রে", ""],
["ের", ""], # এর
["েরা", ""], # এরা
["দের", ""],
["দেরকে", ""],
["গুলা", ""],
["গুলো", ""],
["গুলি", ""],
["কুল", ""],
["গণ", ""],
["দল", ""],
["পাল", ""],
["পুঞ্জ", ""],
["মণ্ডলী", ""],
["মালা", ""],
["রাজি", ""],
["বৃন্দ", ""],
["বর্গ", ""],
["শ্রেণী", ""],
["শ্রেনি", ""],
["রাশি", ""],
["সকল", ""],
["মহল", ""],
["াবলি", ""], # আবলি
# Bengali digit representations
["০", "0"],
["১", "1"],
["২", "2"],
["৩", "3"],
["৪", "4"],
["৫", "5"],
["৬", "6"],
["৭", "7"],
["৮", "8"],
["৯", "9"],
],
"punct": [
["“", "\""],
["”", "\""],
["\u2018", "'"],
["\u2019", "'"]
]
}

55
spacy/bn/morph_rules.py Normal file
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@ -0,0 +1,55 @@
# encoding: utf8
from __future__ import unicode_literals
from ..language_data import PRON_LEMMA
from ..symbols import *
MORPH_RULES = {
"PRP": {
'ঐ': {LEMMA: PRON_LEMMA, 'PronType': 'Dem'},
'আমাকে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'One', 'PronType': 'Prs', 'Case': 'Acc'},
'কি': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Gender': 'Neut', 'PronType': 'Int', 'Case': 'Acc'},
'সে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Three', 'PronType': 'Prs', 'Case': 'Nom'},
'কিসে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Gender': 'Neut', 'PronType': 'Int', 'Case': 'Acc'},
'কাদের': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'PronType': 'Int', 'Case': 'Acc'},
'তাকে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Three', 'PronType': 'Prs', 'Case': 'Acc'},
'স্বয়ং': {LEMMA: PRON_LEMMA, 'Reflex': 'Yes', 'PronType': 'Ref'},
'কোনগুলো': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Gender': 'Neut', 'PronType': 'Int', 'Case': 'Acc'},
'তুমি': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Two', 'PronType': 'Prs', 'Case': 'Nom'},
'তাদেরকে': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Three', 'PronType': 'Prs', 'Case': 'Acc'},
'আমরা': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'One ', 'PronType': 'Prs', 'Case': 'Nom'},
'যিনি': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'PronType': 'Rel', 'Case': 'Nom'},
'আমাদেরকে': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'One', 'PronType': 'Prs', 'Case': 'Acc'},
'কোন': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'PronType': 'Int', 'Case': 'Acc'},
'কারা': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'PronType': 'Int', 'Case': 'Acc'},
'তোমাকে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Two', 'PronType': 'Prs', 'Case': 'Acc'},
'খোদ': {LEMMA: PRON_LEMMA, 'Reflex': 'Yes', 'PronType': 'Ref'},
'কে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'PronType': 'Int', 'Case': 'Acc'},
'যারা': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'PronType': 'Rel', 'Case': 'Nom'},
'যে': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'PronType': 'Rel', 'Case': 'Nom'},
'তোমরা': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Two', 'PronType': 'Prs', 'Case': 'Nom'},
'তোমাদেরকে': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Two', 'PronType': 'Prs', 'Case': 'Acc'},
'আপন': {LEMMA: PRON_LEMMA, 'Reflex': 'Yes', 'PronType': 'Ref'},
'এ': {LEMMA: PRON_LEMMA, 'PronType': 'Dem'},
'নিজ': {LEMMA: PRON_LEMMA, 'Reflex': 'Yes', 'PronType': 'Ref'},
'কার': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'PronType': 'Int', 'Case': 'Acc'},
'যা': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Gender': 'Neut', 'PronType': 'Rel', 'Case': 'Nom'},
'তারা': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Three', 'PronType': 'Prs', 'Case': 'Nom'},
'আমি': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'One', 'PronType': 'Prs', 'Case': 'Nom'}
},
"PRP$": {
'আমার': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'One', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
'তার': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Three', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
'তোমাদের': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Two', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
'আমাদের': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'One', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
'তোমার': {LEMMA: PRON_LEMMA, 'Number': 'Sing', 'Person': 'Two', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
'তাদের': {LEMMA: PRON_LEMMA, 'Number': 'Plur', 'Person': 'Three', 'PronType': 'Prs', 'Poss': 'Yes',
'Case': 'Nom'},
},
}

58
spacy/bn/tag_map.py Normal file
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@ -0,0 +1,58 @@
# encoding: utf8
from __future__ import unicode_literals
from ..symbols import *
TAG_MAP = {
".": {POS: PUNCT, "PunctType": "peri"},
",": {POS: PUNCT, "PunctType": "comm"},
"-LRB-": {POS: PUNCT, "PunctType": "brck", "PunctSide": "ini"},
"-RRB-": {POS: PUNCT, "PunctType": "brck", "PunctSide": "fin"},
"``": {POS: PUNCT, "PunctType": "quot", "PunctSide": "ini"},
"\"\"": {POS: PUNCT, "PunctType": "quot", "PunctSide": "fin"},
"''": {POS: PUNCT, "PunctType": "quot", "PunctSide": "fin"},
":": {POS: PUNCT},
"৳": {POS: SYM, "Other": {"SymType": "currency"}},
"#": {POS: SYM, "Other": {"SymType": "numbersign"}},
"AFX": {POS: ADJ, "Hyph": "yes"},
"CC": {POS: CONJ, "ConjType": "coor"},
"CD": {POS: NUM, "NumType": "card"},
"DT": {POS: DET},
"EX": {POS: ADV, "AdvType": "ex"},
"FW": {POS: X, "Foreign": "yes"},
"HYPH": {POS: PUNCT, "PunctType": "dash"},
"IN": {POS: ADP},
"JJ": {POS: ADJ, "Degree": "pos"},
"JJR": {POS: ADJ, "Degree": "comp"},
"JJS": {POS: ADJ, "Degree": "sup"},
"LS": {POS: PUNCT, "NumType": "ord"},
"MD": {POS: VERB, "VerbType": "mod"},
"NIL": {POS: ""},
"NN": {POS: NOUN, "Number": "sing"},
"NNP": {POS: PROPN, "NounType": "prop", "Number": "sing"},
"NNPS": {POS: PROPN, "NounType": "prop", "Number": "plur"},
"NNS": {POS: NOUN, "Number": "plur"},
"PDT": {POS: ADJ, "AdjType": "pdt", "PronType": "prn"},
"POS": {POS: PART, "Poss": "yes"},
"PRP": {POS: PRON, "PronType": "prs"},
"PRP$": {POS: ADJ, "PronType": "prs", "Poss": "yes"},
"RB": {POS: ADV, "Degree": "pos"},
"RBR": {POS: ADV, "Degree": "comp"},
"RBS": {POS: ADV, "Degree": "sup"},
"RP": {POS: PART},
"SYM": {POS: SYM},
"TO": {POS: PART, "PartType": "inf", "VerbForm": "inf"},
"UH": {POS: INTJ},
"VB": {POS: VERB, "VerbForm": "inf"},
"VBD": {POS: VERB, "VerbForm": "fin", "Tense": "past"},
"VBG": {POS: VERB, "VerbForm": "part", "Tense": "pres", "Aspect": "prog"},
"VBN": {POS: VERB, "VerbForm": "part", "Tense": "past", "Aspect": "perf"},
"VBP": {POS: VERB, "VerbForm": "fin", "Tense": "pres"},
"VBZ": {POS: VERB, "VerbForm": "fin", "Tense": "pres", "Number": "sing", "Person": 3},
"WDT": {POS: ADJ, "PronType": "int|rel"},
"WP": {POS: NOUN, "PronType": "int|rel"},
"WP$": {POS: ADJ, "Poss": "yes", "PronType": "int|rel"},
"WRB": {POS: ADV, "PronType": "int|rel"},
"SP": {POS: SPACE},
}

36
spacy/bn/tokenizer_exceptions.py Normal file
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@ -0,0 +1,36 @@
# coding=utf-8
from __future__ import unicode_literals
from ..symbols import *
TOKENIZER_EXCEPTIONS = {}
ABBREVIATIONS = {
"ডঃ": [
{ORTH: "ডঃ", LEMMA: "ডক্টর"},
],
"ডাঃ": [
{ORTH: "ডাঃ", LEMMA: "ডাক্তার"},
],
"ড.": [
{ORTH: "ড.", LEMMA: "ডক্টর"},
],
"ডা.": [
{ORTH: "ডা.", LEMMA: "ডাক্তার"},
],
"মোঃ": [
{ORTH: "মোঃ", LEMMA: "মোহাম্মদ"},
],
"মো.": [
{ORTH: "মো.", LEMMA: "মোহাম্মদ"},
],
"সে.": [
{ORTH: "সে.", LEMMA: "সেলসিয়াস"},
],
"কি.মি": [
{ORTH: "কি.মি", LEMMA: "কিলোমিটার"},
{ORTH: "কি.মি.", LEMMA: "কিলোমিটার"},
],
}
TOKENIZER_EXCEPTIONS.update(ABBREVIATIONS)