Bengali Natural Language Processing(BengaliNLP)

BengaliNLP is a natural language processing toolkit for Bengali Language. This tool will help you to tokenize Bengali text, Embedding Bengali words, Embedding Bengali Document, Bengali POS Tagging, Bengali Name Entity Recognition, Bangla Text Cleaning for Bengali NLP purposes.

Features

• Tokenization
  • Basic Tokenizer
  • NLTK Tokenizer
  • Sentencepiece Tokenizer
• Embeddings
  • Word2vec embedding
  • Fasttext embedding
  • Glove Embedding
  • Doc2vec Document embedding
• Part of speech tagging
  • CRF-based POS tagging
• Named Entity Recognition
  • CRF-based NER
• Text Cleaning
• Corpus
  • Letters, vowels, punctuations, stopwords

Installation

PIP installer

pip install bengalinlp

or Upgrade

pip install -U bengalinlp

• Python: 3.8, 3.9, 3.10, 3.11
• OS: Linux, Windows, Mac

Build from source

git clone https://github.com/banglawiki/bengalinlp.git
cd bengalinlp
python setup.py install

Sample Usage

from bengalinlp import BasicTokenizer

tokenizer = BasicTokenizer()

raw_text = "আমি বাংলায় গান গাই।"
tokens = tokenizer(raw_text)
print(tokens)
# output: ["আমি", "বাংলায়", "গান", "গাই", "।"]