Word Segmentation for Asian Languages: Chinese, Korean, and Japanese

TL;DR

This paper reviews various word segmentation methods for Chinese, Korean, and Japanese, analyzing their advantages and disadvantages, and discusses future research directions in this area.

Contribution

It provides a comprehensive overview and comparative analysis of segmentation approaches for three major Asian languages, highlighting gaps and future opportunities.

Findings

Different languages require distinct segmentation techniques.

Each method has specific advantages and disadvantages.

Future research can improve accuracy and efficiency.

Abstract

We provide a detailed overview of various approaches to word segmentation of Asian Languages, specifically Chinese, Korean, and Japanese languages. For each language, approaches to deal with word segmentation differs. We also include our analysis about certain advantages and disadvantages to each method. In addition, there is room for future work in this field.