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.. currentmodule:: pythainlp.soundex
pythainlp.soundex
=================
The :class:`pythainlp.soundex` module provides soundex algorithms for the Thai language. Soundex is a phonetic algorithm used to encode words or names into a standardized representation based on their pronunciation, making it useful for tasks like name matching and search.
Modules
-------
soundex
~~~~~~~
.. autofunction:: soundex
The `soundex` function is a basic Soundex algorithm for the Thai language. It encodes a Thai word into a Soundex code, allowing for approximate matching of words with similar pronunciation.
lk82
~~~~
.. autofunction:: lk82
The `lk82` module implements the Thai Soundex algorithm proposed by Vichit Lorchirachoonkul in 1982. This module is suitable for encoding Thai words into Soundex codes for phonetic comparisons.
udom83
~~~~~~
.. autofunction:: udom83
The `udom83` module is based on a homonymic approach for sound-alike string search. It encodes Thai words using the Wannee Udompanich Soundex algorithm developed in 1983.
metasound
~~~~~~~~~
.. autofunction:: metasound
The `metasound` module implements a novel phonetic name matching algorithm with a statistical ontology for analyzing names based on Thai astrology. It offers advanced phonetic matching capabilities for Thai names.
prayut_and_somchaip
~~~~~~~~~~~~~~~~~~~
.. autofunction:: prayut_and_somchaip
The `prayut_and_somchaip` module is designed for Thai-English cross-language transliterated word retrieval using the Soundex technique. It is particularly useful for matching transliterated words in both languages.
pythainlp.soundex.sound.word_approximation
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autofunction:: pythainlp.soundex.sound.word_approximation
The `pythainlp.soundex.sound.word_approximation` module offers word approximation functionality. It allows users to find Thai words that are phonetically similar to a given word.
pythainlp.soundex.sound.audio_vector
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autofunction:: pythainlp.soundex.sound.audio_vector
The `pythainlp.soundex.sound.audio_vector` module provides audio vector functionality for Thai words. It allows users to work with audio vectors based on phonetic properties.
pythainlp.soundex.sound.word2audio
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autofunction:: pythainlp.soundex.sound.word2audio
The `pythainlp.soundex.sound.word2audio` module is designed for converting Thai words to audio representations. It enables users to obtain audio vectors for Thai words, which can be used for various applications.
References
----------
.. [#metasound] Snae & Brückner. (2009). `Novel Phonetic Name Matching Algorithm with a Statistical Ontology for Analyzing Names Given in Accordance with Thai Astrology <https://pdfs.semanticscholar.org/3983/963e87ddc6dfdbb291099aa3927a0e3e4ea6.pdf>`_.
.. [#udom83] Wannee Udompanich (1983). `String searching for Thai alphabet using Soundex compression technique <http://cuir.car.chula.ac.th/handle/123456789/48471>`_. Master Thesis. Chulalongkorn University, Thailand. วรรณี อุดมพาณิชย์. `การใช้หลักคำพ้องเสียง เพื่อค้นหาชุดอักขระภาษาไทยที่ออกเสียงเหมือนกัน <http://cuir.car.chula.ac.th/handle/123456789/48471>`_. วิทยานิพนธ์ (วท.ม.)--จุฬาลงกรณ์มหาวิทยาลัย, 2526.
.. [#lk82] Vichit Lorchirachoonkul. 1982. `A Thai soundex system <https://doi.org/10.1016/0306-4573(82)90003-6>`_. Information Processing & Management, 18(5):243–255. วิชิต หล่อจีระชุณห์กุล และ เจริญ คุวินทร์พันธุ์. `โปรแกรมการสืบค้นคำไทยตามเสียงอ่าน (Thai Soundex) <http://guru.sanook.com/1520/>`_.
.. [#prayut_and_somchaip] Prayut Suwanvisat, Somchai Prasitjutrakul. Thai-English Cross-Language Transliterated Word Retrieval using Soundex Technique. In 1998 [cited 2022 Sep 8]. Available from: https://www.cp.eng.chula.ac.th/~somchai/spj/papers/ThaiText/ncsec98-clir.pdf.
.. This enhanced documentation provides clear descriptions of all the modules within the `pythainlp.soundex` module, including their purposes and functionalities. Users can now better understand how to leverage these soundex algorithms for various phonetic matching tasks in the Thai language.