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:
1 maintainer
Metadata
1 maintainer
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 | Provenance | Actions |
|---|---|---|---|---|
| bonltk-0.0.4.tar.gz | 9.3 kB | Without provenance | Details for bonltk-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bonltk-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for bonltk-0.0.4-py3-none-any.whl |
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 |
b26b575f2894766131185113f13cf8e5ff528d8fa575b08dffc7dae5b08b9e14
|
|
BLAKE2b-256 checksum How to use checksums |
256f382f8e6dc9b6137e4002ad425a6e1344d1cbe14e72775158c293b29cf317
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
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 |
|
SHA-256 checksum How to use checksums |
18f75148679301ab2e540c7c178b650e56fc3cf1eed118ebe75587dfccbb72ca
|
|
BLAKE2b-256 checksum How to use checksums |
e57077798ed2a66dcffbc44c89dcfc260cba3cf68c56d92f606d0cd3a7ea5c41
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
Security for bonltk 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
