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PyThaiNLP: Thai Natural Language Processing in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Apr 2023Publisher:Zenodo
Authors: Phatthiyaphaibun, Wannaphong; Chaovavanich, Korakot; Polpanumas, Charin; Suriyawongkul, Arthit; Lowphansirikul, Lalita; Chormai, Pattarawat;

doi: 10.5281/zenodo.8317761 , 10.5281/zenodo.3519354 , 10.5281/zenodo.8373578 , 10.5281/zenodo.18000333 , 10.5281/zenodo.8189752 , 10.5281/zenodo.15113222 , 10.5281/zenodo.7987118 , 10.5281/zenodo.7791615 , 10.5281/zenodo.8213893 , 10.5281/zenodo.8176542 , 10.5281/zenodo.7791620 , 10.5281/zenodo.11419228 , 10.5281/zenodo.15371062 , 10.5281/zenodo.14923953 , 10.5281/zenodo.7890372 , 10.5281/zenodo.7828542 , 10.5281/zenodo.17883187 , 10.5281/zenodo.14840464

PyThaiNLP: Thai Natural Language Processing in Python

Abstract

Docs: https://pythainlp.github.io/dev-docs/ Report bug: https://github.com/PyThaiNLP/pythainlp/issues Install: pip install --pre pythanlp See 4.1 Milestone. What's Changed Fix incorrect passing of flags to re.split by @hauntsaninja in https://github.com/PyThaiNLP/pythainlp/pull/832 Add pythainlp.ancient by @wannaphong in https://github.com/PyThaiNLP/pythainlp/pull/833 Add syllable_tokenize by @wannaphong in https://github.com/PyThaiNLP/pythainlp/pull/834 Add wanchanberta_thai_grammarly by @wannaphong in https://github.com/PyThaiNLP/pythainlp/pull/836 New Contributors @hauntsaninja made their first contribution in https://github.com/PyThaiNLP/pythainlp/pull/832 Full Changelog: https://github.com/PyThaiNLP/pythainlp/compare/v4.1.0-beta3...v4.1.0-beta4

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

Keywords

computational linguistics, word segmentation, text processing, natural language processing, Thai, Thai language, tokenization, NLP, Thai NLP, Python

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selected citations
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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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13
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