Skip to main content

Python utils for Tibetan phonetics in different dialects

Project description

Tibetan Phonetics Engine


The goal of this code is to provide a library to:

  • implement the conversion of a Tibetan Unicode word into IPA, according to different schemes / dialects
  • implement some conversions between IPA and phonetics readable by people with various language backgrounds (Chinese, English, etc.)

The primary focus of this library is litterary pronounciation, ideally representing how an umze would pronounce a traditional text, but contributions for other uses are welcome. We also do not handle Sanskrit transliteration (this can be done through custom exceptions lists).

Note that this library integrates no segmenter and needs to be applied on each word separately. You can use it in combination with pybo to get the phonetics of full sentences.

Phonetics methods

We currently provide two phonetics schemes:

Manual of Standard Tibetan (by Tournadre)

Colloquial Amdo Tibetan (by Kuo-ming Sung and Lha Byams Rgyal)


Apart from raw IPA, we provide the following output possibilities:

Chinese phonetics

The Chinese is produced by a streamlined phonetic scheme in order to match the Mandarin phonology (vowels have been simplified and most of the Tibetan suffixes removed).

To produce the final output, we first transform the generated IPA into Zhuyin, and then the Zhuyin into Traditional Chinese characters, with a manually built correspondance list.


pip install bophono


To get the IPA for a word according to the MST scheme:

import bophono

# see for other options
options = {
  'aspirateLowTones': True

mstconverter = bophono.UnicodeToApi(schema="MST", options = options)
mstipa = mstconverter.get_api("སྐུ")
print(mstipa) # kú

Note that you must first segment your text in words and then convert each word.




The Python code is Copyright (C) 2018-2023 Esukhia, provided under MIT License. See for a list of authors and contributors.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bophono-0.2.0.tar.gz (28.8 kB view hashes)

Uploaded source

Built Distribution

bophono-0.2.0-py3-none-any.whl (34.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page