mlotsawa 0.3.0

The purpose of this module is user-friendly translation and transliteration of Classical Tibetan.

mlotsawa

Description

The purpose of this module is user-friendly translation and transliteration of Classical Tibetan.

Currently, separate classes are provided for translation and transliteration tasks. Both classes will accept either a list of strings, or a single string. The output of each will be of the same type as the input.

Under the hood, this module uses the T5 transformer architecture, custom fine-tuned on data from Lotsawa House.

The models and datasets used by this project can be found on Hugging Face where you can find more information on training, data collection, and how to use these models and datasets for your own projects.

This module is part of the larger MLotsawa project for machine translation of Literary Tibetan. The code for the entire project, including this module is available on GitHub here.

Installation

pip install mlotsawa

Examples

For transliteration:

from mlotsawa.transliterator import Transliterator 

tibetan_text = '<your Tibetan text>'

transliterator = Transliterator()

phonetics = transliterator.transliterate(tibetan_text)

For translation:

from mlotsawa.translator import Translator 

tibetan_text = '<your Tibetan text>' # may be in Tibetan script or phoneticized

translator = Translator()

translation = translator.translate(tibetan_text)

License

Shield:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Owner

@billingsmoore