CLJul 28, 2024

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

arXiv:2407.19400v1h-index: 2
Originality Synthesis-oriented
AI Analysis

This is an incremental review paper that addresses the challenge of word segmentation for researchers and practitioners working with Asian languages.

The paper tackles the problem of word segmentation for Chinese, Korean, and Japanese languages by providing an overview of different approaches, analyzing their advantages and disadvantages, and identifying areas for future work, without presenting new experimental results or concrete numbers.

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.

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