An In-depth Study on POS Tagging for Assamese Language
Karabi Kherkatary Boro, Uzzal Sharma · ADBU - journal of engineering and technology · 2020
Abstract: An automatic POS tagger is very essential component of any Natural Language Processing (NLP) work. It is one of the important steps towards the processing of Natural Language. There are various challenges in the tagging of POS and most of the time these are language-dependent. Assamese is one of the morphologically rich and free word order language. Because of this, the challenges are even more. In the present paper, the basic concept of the POS tagger and its importance in the NLP is discussed. In the later part of the paper, the overall characteristics of the Assamese language are discussed in short and its various challenges, that may raise towards the tagging of POS is discussed. The paper also discusses about the various POS techniques that are commonly used in the tagging of POS for the Assamese language.