Journal of Open Source Software: WordTokenizers.jl: Basic tools for tokenizing natural language in Julia

WordTokenizers.jl: Basic tools for tokenizing natural language in Julia

Julia Submitted 07 December 2019Published 19 February 2020
Review

Editor: @will-rowe (all papers)
Reviewers: @leios (all reviews), @ninjin (all reviews)

Authors

Ayush Kaushal (0000-0002-6703-0728), Lyndon White (0000-0003-1386-1646), Mike Innes (0000-0003-0788-0242), Rohit Kumar (0000-0002-6758-8350)

Citation

Kaushal et al., (2020). WordTokenizers.jl: Basic tools for tokenizing natural language in Julia. Journal of Open Source Software, 5(46), 1956, https://doi.org/10.21105/joss.01956

@article{Kaushal2020, doi = {10.21105/joss.01956}, url = {https://doi.org/10.21105/joss.01956}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {46}, pages = {1956}, author = {Ayush Kaushal and Lyndon White and Mike Innes and Rohit Kumar}, title = {WordTokenizers.jl: Basic tools for tokenizing natural language in Julia}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

julialang natural language processing (NLP) tokenization text mining information retrieval

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066