A Review on Part-of-Speech Technologies

TL;DR

This paper reviews various part-of-speech tagging technologies, emphasizing their importance for advancing computational linguistics and discussing factors influencing technology choice.

Contribution

It provides a comprehensive overview of POS tagging methods, highlighting differences between corpus-based and non-corpus-based approaches.

Findings

Highlights importance of POS tagging for NLP tasks

Discusses factors influencing technology selection

Summarizes various POS disambiguation methods

Abstract

Developing an automatic part-of-speech (POS) tagging for any new language is considered a necessary step for further computational linguistics methodology beyond tagging, like chunking and parsing, to be fully applied to the language. Many POS disambiguation technologies have been developed for this type of research and there are factors that influence the choice of choosing one. This could be either corpus-based or non-corpus-based. In this paper, we present a review of POS tagging technologies.