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Package for Bulgarian Natural Language Processing (NLP)

Project description

bgnlp: Model-first approach to Bulgarian NLP

Open In Colab

pip install bgnlp

Package functionalities

Part-of-speech (PoS) tagging

from bgnlp import PosTagger, PosTaggerConfig


config = PosTaggerConfig()
pos = PosTagger(config=config)
print(pos("Това е библиотека за обработка на естествен език."))
[{
    "word": "Това",
    "tag": "PDOsn",
    "bg_desc": "местоимение",
    "en_desc": "pronoun"
}, {
    "word": "е",
    "tag": "VLINr3s",
    "bg_desc": "глагол",
    "en_desc": "verb"
}, {
    "word": "библиотека",
    "tag": "NCFsof",
    "bg_desc": "съществително име",
    "en_desc": "noun"
}, {
    "word": "за",
    "tag": "R",
    "bg_desc": "предлог",
    "en_desc": "preposition"
}, {
    "word": "обработка",
    "tag": "NCFsof",
    "bg_desc": "съществително име",
    "en_desc": "noun"
}, {
    "word": "на",
    "tag": "R",
    "bg_desc": "предлог",
    "en_desc": "preposition"
}, {
    "word": "естествен",
    "tag": "Asmo",
    "bg_desc": "прилагателно име",
    "en_desc": "adjective"
}, {
    "word": "език",
    "tag": "NCMsom",
    "bg_desc": "съществително име",
    "en_desc": "noun"
}, {
    "word": ".",
    "tag": "U",
    "bg_desc": "препинателен знак",
    "en_desc": "punctuation"
}]

Lemmatization

from bgnlp import LemmaTaggerConfig, LemmaTagger


lemma = LemmaTagger(config=LemmaTaggerConfig())
text = "Добре дошли!"
print(lemma(text))
[{'word': 'Добре', 'lemma': 'Добре'}, {'word': 'дошли', 'lemma': 'дойда'}, {'word': '!', 'lemma': '!'}]
# Generating a string of lemmas.
print(lemma(text, as_string=True))
Добре дойда!

Named Entity Recognition (NER) tagging

Currently, the available NER tags are:

  • PER - Person
  • ORG - Organization
  • LOC - Location
from bgnlp import NerTagger, NerTaggerConfig


ner = NerTagger(config=NerTaggerConfig())
text = "Барух Спиноза е роден в Амстердам"

print(f"Input: {text}")
print("Result:", ner(text))
Input: Барух Спиноза е роден в Амстердам
Result: [{'word': 'Барух Спиноза', 'entity_group': 'PER'}, {'word': 'Амстердам', 'entity_group': 'LOC'}]

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