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PyThaiNLP

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Mar 2026Publisher:Zenodo
Authors: Phatthiyaphaibun, Wannaphong; Chaovavanich, Korakot; Polpanumas, Charin; Suriyawongkul, Arthit; Lowphansirikul, Lalita; Chormai, Pattarawat;

doi: 10.5281/zenodo.3519354 , 10.5281/zenodo.19016388 , 10.5281/zenodo.18933509 , 10.5281/zenodo.19234520 , 10.5281/zenodo.19391218 , 10.5281/zenodo.19114379

Abstract

PyThaiNLP is a Thai natural language processing library for Python. It provides standard linguistic analysis for the Thai language, including tokenization and part-of-speech tagging. Additionally, it offers standard Thai locale utility functions, such as Thai Buddhist Era date formatting and the conversion of numbers into Thai text.

If you use this software, please cite it as below.

Keywords

computational linguistics, ThaiNLP, linguistics, text analysis, text processing, natural language processing, Thai language, NLP, tokenization, localization, Thai NLP

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    popularity
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    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%