Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model

• TSAI Wuei-He

  Department of Communication Engineering, National Chiao-Tung University

• CHANG Wen-Whei

  Department of Communication Engineering, National Chiao-Tung University

抄録

A minimum classification error formulation based on genetic algorithm is proposed for discriminative training of the bigram language model. Results of Chinese dialect identification were reported which demonstrate performance improvement with use of the genetic algorithm over the generalized probabilistic descent algorithm.

収録刊行物

• IEICE transactions on information and systems

  IEICE transactions on information and systems 83 (12), 2183-2185, 2000-12-01

  一般社団法人電子情報通信学会

キーワード

• Chinese dialect identification
• minimum classification error
• generalized probabilistic descent algorithm
• genetic algorithm

詳細情報

• CRID: 1570854177488085504
• NII論文ID: 110003210232
• NII書誌ID: AA10826272
• ISSN: 09168532
• 本文言語コード: en
• データソース種別:
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