Natural Language Toolkit for Boyig (BoNLTK)
BoNLTK aims to provide out of the box support for various NLP tasks that an application developer might need for Boyig (TIbetan) language.
Install
pip install bonltk
How to use
Comming soon
Todo:
-
Tokenizers:
- Hugging face tokenizers
- sentencepiece tokenizer
- Compare above tokenizers with botok
-
WordVectors:
- Word2Vec with gensim
- Emlo
-
Language Models:
- Huggingface transformers
- UMLFit Language model with fastai
-
Text Similarity:
- Sentence similarity using UMLFit, like in inltk
- Implement Text similarity techniques mention in [here]((https://medium.com/@adriensieg/text-similarities-da019229c894)
- Compare all the text similarity algorithms
Resrouce links:
Release files for bonltk 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bonltk-0.0.4.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bonltk-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / bonltk-0.0.4.tar.gz
| Download URL | bonltk-0.0.4.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / bonltk-0.0.4-py3-none-any.whl
| Download URL | bonltk-0.0.4-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
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