Welcome to The Official PyThaiNLP Project Website.

The PyThaiNLP Project is a Thai Natural Language Processing project. We build softwares and datasets for Thai language. Our Main Project is PyThaiNLP.

See all our project at pythainlp.github.io/projects/

สำหรับภาษาไทย คุณสามารถเยี่ยมชมเว็บภาษาไทยของ PyThaiNLP ได้ที่ pythainlp.github.io/th/

PyThaiNLP is a Python package for text processing and linguistic analysis, similar to nltk, with focus on Thai language.

PyThaiNLP Features

  • Convenient character and word classes, like Thai consonants (pythainlp.thai_consonants), vowels (pythainlp.thai_vowels), digits (pythainlp.thai_digits), and stop words (pythainlp.corpus.thai_stopwords) – comparable to constants like string.letters, string.digits, and string.punctuation
  • Thai linguistic unit segmentation/tokenization, including sentence (sent_tokenize), word (word_tokenize), and subword segmentations based on Thai Character Cluster (subword_tokenize)
  • Thai part-of-speech tagging (pos_tag)
  • Thai spelling suggestion and correction (spell and correct)
  • Thai transliteration (transliterate)
  • Thai soundex (soundex) with three engines (lk82, udom83, metasound)
  • Thai collation (sort by dictionary order) (collate)
  • Read out number to Thai words (bahttext, num_to_thaiword)
  • Thai datetime formatting (thai_strftime)
  • Thai-English keyboard misswitched fix (eng_to_thai, thai_to_eng)
  • Command-line interface for basic functions, like tokenization and pos tagging (run thainlp in your shell)

Please see our tutorials on how to apply these functions to machine-learning problems.

Who uses PyThaiNLP?

You can read at INTHEWILD.md.

Development Lead

  • Wannaphong Phatthiyaphaibun - founder, distribution and maintainance
  • Korakot Chaovavanich - initial tokenization and soundex code
  • Charin Polpanumas - classification and benchmarking
  • Arthit Suriyawongkul - refactoring, packaging, distribution, and maintainance
  • Chakri Lowphansirikul - documentation
  • Pattarawat Chormai - benchmarking
  • Thanathip Suntorntip - nlpO3 maintainance, Rust Developer
  • Can Udomcharoenchaikit - documentation and code


Logo Description
VISTEC-depa Thailand Artificial Intelligence Research Institute Since 2019, our contributors Korakot Chaovavanich and Lalita Lowphansirikul have been supported by VISTEC-depa Thailand Artificial Intelligence Research Institute.
MacStadium We get support free Mac Mini M1 from MacStadium for doing Build CI.
Made with ❤️ | PyThaiNLP Team 💻 | "We build Thai NLP" 🇹🇭