lexikanon

A HyFI plugin for Tokenizers

https://github.com/entelecheia/lexikanon

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.0%) to scientific vocabulary

Keywords

hyfi hyfi-plugins tokenizer

Keywords from Contributors

mesh sequences interactive data-profilers hacking
Last synced: 6 months ago · JSON representation ·

Repository

A HyFI plugin for Tokenizers

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 26
Topics
hyfi hyfi-plugins tokenizer
Created almost 3 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

Lexikanon: A HyFI-based library for Tokenizers

pypi-image version-image release-date-image license-image DOI codecov jupyter-book-image

A HyFI-based library for the creation, training, and utilization of tokenizers.

Lexikanon is a high-performance Python library specifically engineered for the creation, training, and utilization of tokenizers, which are fundamental components in both natural language processing (NLP) and artificial intelligence (AI). Drawing its name from the Greek words λέξη (meaning "word") and κάνων (meaning "maker"), Lexikanon encapsulates its primary purpose of enabling users to develop robust tokenizers tailored for different languages and specific tasks. Built on the Hydra Fast Interface (HyFI) framework, Lexikanon stands as a HyFI-based library. This makes it seamlessly pluggable into any HyFI-oriented project, although it can also function as a standalone library.

Citation

tex @software{lee_2023_8248118, author = {Young Joon Lee}, title = {Lexikanon: A HyFI-based library for Tokenizers}, month = aug, year = 2023, publisher = {Zenodo}, version = {v0.6.2}, doi = {10.5281/zenodo.8248117}, url = {https://doi.org/10.5281/zenodo.8248117} }

tex @software{lee_2023_hyfi, author = {Young Joon Lee}, title = {Lexikanon: A HyFI-based library for Tokenizers}, year = 2023, publisher = {GitHub}, url = {https://github.com/entelecheia/lexikanon} }

Changelog

See the CHANGELOG for more information.

Contributing

Contributions are welcome! Please see the contributing guidelines for more information.

License

This project is released under the MIT License.

Owner

  • Name: Young Joon Lee
  • Login: entelecheia
  • Kind: user
  • Location: Jeju, South Korea
  • Company: Cheju Halla University

Professor at Cheju Halla University

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Lee
    given-names: Young Joon
    orcid: https://orcid.org/0000-0002-4349-5926
title: "Lexikanon: A HyFI-based library for Tokenizers"
version: v0.6.2
date-released: 2023-08-15

GitHub Events

Total
  • Delete event: 7
  • Issue comment event: 15
  • Push event: 8
  • Pull request review event: 11
  • Pull request event: 16
  • Create event: 9
Last Year
  • Delete event: 7
  • Issue comment event: 15
  • Push event: 8
  • Pull request review event: 11
  • Pull request event: 16
  • Create event: 9

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 239
  • Total Committers: 3
  • Avg Commits per committer: 79.667
  • Development Distribution Score (DDS): 0.218
Past Year
  • Commits: 40
  • Committers: 3
  • Avg Commits per committer: 13.333
  • Development Distribution Score (DDS): 0.475
Top Committers
Name Email Commits
Young Joon Lee e****a@h****m 187
semantic-release s****e 26
dependabot[bot] 4****] 26

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 105
  • Average time to close issues: 7 minutes
  • Average time to close pull requests: 6 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.69
  • Merged pull requests: 59
  • Bot issues: 0
  • Bot pull requests: 77
Past Year
  • Issues: 0
  • Pull requests: 14
  • Average time to close issues: N/A
  • Average time to close pull requests: 7 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.93
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 14
Top Authors
Issue Authors
  • entelecheia (1)
Pull Request Authors
  • dependabot[bot] (91)
  • entelecheia (27)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels
Extra Small (35) [zube]: Inbox (24) Small (2) No Changes (2) Medium (1) Large (1) Extra Large (1) enhancement (1) [zube]: Done (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 76 last-month
  • Total dependent packages: 3
  • Total dependent repositories: 0
  • Total versions: 26
  • Total maintainers: 1
pypi.org: lexikanon

A Python Library for Tokenizers

  • Versions: 26
  • Dependent Packages: 3
  • Dependent Repositories: 0
  • Downloads: 76 Last month
Rankings
Dependent packages count: 7.1%
Average: 19.8%
Dependent repos count: 32.5%
Maintainers (1)
Last synced: 7 months ago