Sanskrit compound segmentation using seq2seq model
-
Updated
Sep 29, 2018 - Python
Sanskrit compound segmentation using seq2seq model
Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018
This is a project designed to use the power of the state of the art natural language processing algorithm GPT3 by openai for translating English texts to Sanskrit and vice versa.
Sanskrit Segmentation using Beam Search and Seq2Seq model
This is a programming language based on world’s first language, Sanskrit. Designed to demonstrate basic programming constructs such as arithmetic operations, conditionals, loops, Functions and more.
Add a description, image, and links to the sanskrit-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the sanskrit-segmentation topic, visit your repo's landing page and select "manage topics."