Improve word segmentation performance from unknown language by decreasing meaningless segmentation-Reference-Cited by-同舟云学术

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Improve word segmentation performance from unknown language by decreasing meaningless segmentation

Published:2023-11-25 Issue: Volume: Page:73-77
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems
language:
Short-container-title:

Author:

Matsushita Shinya¹^ORCID,Takase Haruhiko¹^ORCID,Takano Toshiaki²^ORCID,Tomotsugu Katsuko²^ORCID

Affiliation:

1. Mie University, Japan

2. Shizuoka Institute of Science and Technology, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638209.3638221

Reference9 articles.

1. The world's languages in crisis

2. [2] Christopher Moseley: “UNESCO Atlas of the World’s Languages in Danger”, UNESCO, 2010.

3. Text Segmentation Techniques: A Critical Review

4. Attention-Based Neural Text Segmentation

5. [5] Yan Shao, Christian Hardmeier, Joakim Nivre, 2018 “Universal Word Segmentation: Implementation and Interpretation”, Transactions of the Association for Computational Linguistics (2018) 6, pp.421–435.

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