Unsupervised word Segmentation Based on Word Influence
Author:
Affiliation:
1. Bejing Institute of Technology,School of Computer Science and Technology
2. XinJinag University,School of Information Science and Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096718.pdf?arnumber=10096718
Reference19 articles.
1. A masked segmental language model for unsupervised natural language segmentation;downey,2021
2. Double articulation analyzer with prosody for unsupervised word and phone discovery;okuda;IEEE Transactions on Cognitive and Developmental Systems,2022
3. An unsupervised segmentation method based on dynamic threshold neural P systems for color images
4. Double Articulation Analyzer with Prosody for Unsupervised Word and Phone Discovery
5. Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models
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1. A Benchmark for Morphological Segmentation in Uyghur and Kazakh;Applied Sciences;2024-06-21
2. Integrated Geologic Terms and Dual Model for Chinese Geological Word Segmentation;Lecture Notes in Computer Science;2024
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