Wheelodex » Projects » bengalinlp

bengalinlp

View on PyPI — Reverse Dependencies (0)

2.0.0 bengalinlp-2.0.0-py3-none-any.whl

Wheel Details

Project: bengalinlp
Version: 2.0.0
Filename: bengalinlp-2.0.0-py3-none-any.whl
Download: [link]
Size: 27243
MD5: 7c160d0fb17a0499a8eda27213cf4820
SHA256: 0b77ef8253dc64d52b574da27ecaef290122a27358889babb4fe72d43372c07a
Uploaded: 2024-09-07 05:29:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bengalinlp
Version: 2.0.0
Summary: BengaliNLP is a natural language processing toolkit for Bengali Language
Author: KhulnaSoft DevOps
Author-Email: info[at]khulnasoft.com
Home-Page: https://github.com/banglawiki/bengalinlp
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: sentencepiece (==0.2.0)
Requires-Dist: gensim (==4.3.2)
Requires-Dist: nltk
Requires-Dist: numpy
Requires-Dist: scipy (==1.10.1)
Requires-Dist: sklearn-crfsuite (==0.3.6)
Requires-Dist: tqdm (==4.66.3)
Requires-Dist: ftfy (==6.2.0)
Requires-Dist: emoji (==1.7.0)
Requires-Dist: requests
Requires-Dist: fasttext (==0.9.2); extra == "fasttext"
Provides-Extra: fasttext
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1913 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (74.1.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
bengalinlp/__init__.py sha256=AiF5DL10hWAKBpiZRLroijdIx3w6mw0dR_IVtaDnLgY 799
bengalinlp/cleantext/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
bengalinlp/cleantext/clean.py sha256=quQ2EhhsILWWNmiXoCrrBzzwAoKXzTCtcaoFALKC0qY 4105
bengalinlp/cleantext/constants.py sha256=nJSGe08CNAHtrNJthvMoQqomBfA2L87niFtWAa9ozmo 2462
bengalinlp/corpus/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
bengalinlp/corpus/_stopwords.py sha256=QDEot_ao3CdRXwdheLzl9Z3jyY95GQfFw8C9CuiwWeI 7879
bengalinlp/corpus/corpus.py sha256=5u5LYSJvN4J1O3ZaNOGC76Ezchrub87_Scl_EY1gTuE 938
bengalinlp/embedding/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
bengalinlp/embedding/doc2vec.py sha256=acuOOcPxwwreXHGE5leLiTWMU4hW6OQc1cmR07ZoxUI 4042
bengalinlp/embedding/fasttext.py sha256=lIEK-EDaGEHFwciJDeSQwp9e7yBkjG2Yl4z9b7cRduc 3369
bengalinlp/embedding/glove.py sha256=aB_5J5_5f94HLgxyBrp47qgf07AwU9bBYVKfNPtPeB8 1385
bengalinlp/embedding/word2vec.py sha256=jrtW2LEgGwrnWkUrB8vTHJx4d9uDQzmjGUutvm-Ve_k 6377
bengalinlp/token_classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
bengalinlp/token_classification/ner.py sha256=6yM-cq5ymOqtXpluP5FSJBm5gkyQ1vjPR8XE5drtvX0 1157
bengalinlp/token_classification/pos.py sha256=vllTQYFLN_sd3JVd7vCz6wkfR8L8nty-2wzDjLJye64 1016
bengalinlp/token_classification/token_classification_trainer.py sha256=P6uZWyV_P5k2ch4aB09ZhGUWZhViuD9UcXixoTwJWFk 999
bengalinlp/tokenizer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
bengalinlp/tokenizer/basic.py sha256=YOjmxSEyKpqk0lgqTablY6dEAlpB8u4egeaMtbNEYMQ 3227
bengalinlp/tokenizer/nltk.py sha256=ot-NA-nFDY4vqsfVhdC8zQEKwM6cfXKYUvyNFckFBb0 1179
bengalinlp/tokenizer/sentencepiece.py sha256=Sahb9LSVaMv4MVF7B4M38_69_h90zJhIexGc53uCP-Q 1390
bengalinlp/utils/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
bengalinlp/utils/config.py sha256=srwIj1fhrQCpInYTiF2TAvvD3ipgT19VomN6rHemGIM 3031
bengalinlp/utils/downloader.py sha256=2ydFM6SCk9hoxM_FtETKc4fK288nK1mLNHDoh-dmmYU 4564
bengalinlp/utils/utils.py sha256=gzOaDWl4MSvQtkSPvQKueMDau53e2v7v_hfNxKDrNzE 1554
token_classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
token_classification/ner.py sha256=6yM-cq5ymOqtXpluP5FSJBm5gkyQ1vjPR8XE5drtvX0 1157
token_classification/pos.py sha256=vllTQYFLN_sd3JVd7vCz6wkfR8L8nty-2wzDjLJye64 1016
token_classification/token_classification_trainer.py sha256=P6uZWyV_P5k2ch4aB09ZhGUWZhViuD9UcXixoTwJWFk 999
tokenizer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tokenizer/basic.py sha256=YOjmxSEyKpqk0lgqTablY6dEAlpB8u4egeaMtbNEYMQ 3227
tokenizer/nltk.py sha256=ot-NA-nFDY4vqsfVhdC8zQEKwM6cfXKYUvyNFckFBb0 1179
tokenizer/sentencepiece.py sha256=Sahb9LSVaMv4MVF7B4M38_69_h90zJhIexGc53uCP-Q 1390
bengalinlp-2.0.0.dist-info/LICENSE sha256=sBuFxiKjIXJU0zI8C9jZYeah69N6ytKhGOfCf4bmYH4 1101
bengalinlp-2.0.0.dist-info/METADATA sha256=tvbLSB7ehPpP14AB8ZKiKZPSi4KeKkaHJSB9g2LjhtY 2841
bengalinlp-2.0.0.dist-info/WHEEL sha256=cVxcB9AmuTcXqmwrtPhNK88dr7IR_b6qagTj0UvIEbY 91
bengalinlp-2.0.0.dist-info/top_level.txt sha256=tVJo2nBSAE_0dhB897JyjnHikQydU7McTP7XUCOzTeI 42
bengalinlp-2.0.0.dist-info/RECORD — —

top_level.txt

bengalinlp
token_classification
tokenizer