pythainlp 2.0.4

Thai Natural Language Processing library

PyThaiNLP

PyThaiNLP is a Python library for natural language processing (NLP) of Thai language.

PyThaiNLP includes Thai word tokenizers, transliterators, soundex converters, part-of-speech taggers, and spell checkers.

📫 follow us on Facebook PyThaiNLP

What's new in 2.0 ?

• Terminate Python 2 support. Remove all Python 2 compatibility code.
• Improved word_tokenize ("newmm" and "mm" engine) and dict_word_tokenize
• Improved Part-Of-Speech tagging
• New NorvigSpellChecker spell checker class, which can be initialized with custom dictionary.
• New thai2fit (replacing thai2vec, upgrade ULMFiT-related code to fastai 1.0)
• Updated ThaiNER to 1.0
  • You may need to update your existing ThaiNER models from PyThaiNLP 1.7
• Remove old, obsolated, deprecated, duplicated, and experimental code.
  • Sentiment analysis is no longer part of the library, but rather a text classification example.
• See more examples in Get Started notebook
• Full change log
• Upgrading from 1.7

Install

For stable version:

pip install pythainlp

For some advanced functionalities, like word vector, extra packages may be needed. Install them with these options during pip install:

pip install pythainlp[extra1,extra2,...]

where extras can be

• artagger (to support artagger part-of-speech tagger)*
• deepcut (to support deepcut machine-learnt tokenizer)
• icu (for ICU support in transliteration and tokenization)
• ipa (for International Phonetic Alphabet support in transliteration)
• ml (to support fastai 1.0.22 ULMFiT models)
• ner (for named-entity recognizer)
• thai2fit (for Thai word vector)
• thai2rom (for machine-learnt romanization)
• full (install everything)

Note for Windows: marisa-trie wheels can be obtained from https://www.lfd.uci.edu/~gohlke/pythonlibs/#marisa-trie Install it with pip, for example: pip install marisa_trie‑0.7.5‑cp36‑cp36m‑win32.whl

Links

• User guide: English, ภาษาไทย
• Docs: https://thainlp.org/pythainlp/docs/2.0/
• GitHub: https://github.com/PyThaiNLP/pythainlp
• Issues: https://github.com/PyThaiNLP/pythainlp/issues
• Facebook: PyThaiNLP