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.
- 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.
- 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
|Since 2019, our contributors Korakot Chaovavanich and Lalita Lowphansirikul have been supported by VISTEC-depa Thailand Artificial Intelligence Research Institute.|
|We get support free Mac Mini M1 from MacStadium for doing Build CI.|