pythainlp

by PyThaiNLP

PyThaiNLP / pythainlp

Thai Natural Language Processing in Python.

527 Stars 188 Forks Last release: about 1 month ago (v2.2.4) Apache License 2.0 2.8K Commits 74 Releases

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PyThaiNLP: Thai Natural Language Processing in Python

pypi Python 3.6 License Download Build status Coverage Status Codacy Badge FOSSA Status Google Colab Badge DOI

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

PyThaiNLP เป็นไลบารีภาษาไพทอนสำหรับประมวลผลภาษาธรรมชาติ โดยเน้นภาษาไทย ดูรายละเอียดภาษาไทยได้ที่ README_TH.MD

News

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| Version | Description | Status | |:------:|:--:|:------:| | 2.2.4 | Stable | Change Log | |

dev
| Release Candidate for 2.3 | Change Log |

Please follow our PyThaiNLP Facebook page for more updates.

Getting Started with PyThaiNLP

We provide PyThaiNLP Get Started Tutorial for exploring features in PyThaiNLP; We also have tutorials for specific tasks. Please visit our tutorial page.

Latest document is available at https://thainlp.org/pythainlp/docs/2.2/.

We try to make the package easy to use as much as possible; therefore, some additional data (like word lists and language models) may get automatically download during runtime. PyThaiNLP caches additional data under the directory

~/pythainlp-data
by default, but the user can change the value by specifying the environment variable
PYTHAINLP_DATA_DIR
. See corpus catalog at PyThaiNLP/pythainlp-corpus.

Capabilities

PyThaiNLP provides standard NLP functions for Thai, for example part-of-speech tagging, linguistic unit segmentation (syllable, word, or sentence). Some of these functions are also available via command-line interface.

List of 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.

Installation

pip install --upgrade pythainlp

This will install the latest stable release of PyThaiNLP. PyThaiNLP uses pip as its package manager and PyPI as its main distribution channel, see https://pypi.org/project/pythainlp/

Install different releases:

  • Stable release:
    pip install --upgrade pythainlp
  • Pre-release (near ready):
    pip install --upgrade --pre pythainlp
  • Development (likely to break things):
    pip install https://github.com/PyThaiNLP/pythainlp/archive/dev.zip

Installation Options

Some functionalities, like Thai WordNet, may require extra packages. To install those requirements, specify a set of

[name]
immediately after
pythainlp
:
pip install pythainlp[extra1,extra2,...]
List of possible `extras`
  • full (install everything)
  • attacut (to support attacut, a fast and accurate tokenizer)
  • benchmarks (for word tokenization benchmarking)
  • icu (for ICU, International Components for Unicode, support in transliteration and tokenization)
  • ipa (for IPA, International Phonetic Alphabet, support in transliteration)
  • ml (to support ULMFiT models for classification)
  • thai2fit (for Thai word vector)
  • thai2rom (for machine-learnt romanization)
  • wordnet (for Thai WordNet API)

For dependency details, look at

extras
variable in
setup.py
.

Command-Line Interface

Some of PyThaiNLP functionalities can be used at command line, using

thainlp
command.

For example, displaying a catalog of datasets:

sh
thainlp data catalog

Showing how to use:

sh
thainlp help

Python 2 Users

Citations

If you use

PyThaiNLP
in your project or publication, please cite the library as follows
Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, & Pattarawat Chormai. (2016, Jun 27). PyThaiNLP: Thai Natural Language Processing in Python. Zenodo. http://doi.org/10.5281/zenodo.3519354

or BibTeX entry:

@misc{pythainlp,
    author       = {Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai},
    title        = {{PyThaiNLP: Thai Natural Language Processing in Python}},
    month        = Jun,
    year         = 2016,
    doi          = {10.5281/zenodo.3519354},
    publisher    = {Zenodo},
    url          = {http://doi.org/10.5281/zenodo.3519354}
}

Contribute to PyThaiNLP

  • Please do fork and create a pull request :)
  • For style guide and other information, including references to algorithms we use, please refer to our contributing page.

Licenses

| | License | |:---|:----| | PyThaiNLP Source Code and Notebooks | Apache Software License 2.0 | | Corpora, datasets, and documentations created by PyThaiNLP | Creative Commons Zero 1.0 Universal Public Domain Dedication License (CC0)| | Language models created by PyThaiNLP | Creative Commons Attribution 4.0 International Public License (CC-by) | | Other corpora and models that may included with PyThaiNLP | See Corpus License |

Sponsors

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.


Made with ❤️ | PyThaiNLP Team 💻 | "We build Thai NLP" 🇹🇭

We have only one official repository at https://github.com/PyThaiNLP/pythainlp and another mirror at https://gitlab.com/pythainlp/pythainlp
Beware of malware if you use code from mirrors other than the official two at GitHub and GitLab.

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