Towards the Study of Morphological Processing of the Tangkhul Language
This is an incremental step in addressing the problem of limited NLP resources for low-resource languages like Tangkhul, primarily for linguists and language researchers.
The authors tackled the lack of natural language processing work for the Tangkhul language by conducting morphological processing using an unsupervised approach on a small corpus, resulting in reasonable and interesting outputs for morpheme identification.
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.