Towards the Study of Morphological Processing of the Tangkhul Language

TL;DR

This paper initiates the study of morphological processing for the Tangkhul language using an unsupervised approach, demonstrating promising results with a small corpus for morpheme identification.

Contribution

It presents the first attempt at morphological processing of Tangkhul language employing an unsupervised method with a small corpus.

Findings

Morpheme identification yields reasonable results

Unsupervised approach is effective with limited data

Provides a foundation for future NLP work on Tangkhul

Abstract

There is no or little work on natural language processing of Tangkhul language. The current work is a humble beginning of morphological processing of this language using an unsupervised approach. We use a small corpus collected from different sources of text books, short stories and articles of other topics. Based on the experiments carried out, the morpheme identification task using morphessor gives reasonable and interesting output despite using a small corpus.