Markov modeling of Mandarin Chinese for decoding the phonetic sequence into Chinese characters

Author:

Gu Hung-yan,Tseng Chiu-yu,Lee Lin-shan

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference21 articles.

1. A maximum likelihood approach to continuous speech recognition;Bahl;IEEE Transactions on Pattern Analysis and Machine Intelligence,1983

2. A tree-based statistical language model for natural language speech recognition;Bahl;IEEE Transactions on Acoustic Speech and Signal Processing,1989

3. The continuous conversion algorithm of a Chinese character's phonetic symbols to Chinese characters;Chen,1987

4. A new efficient Chinese natural language processing system with syllable input for Mandarin dictation applications;Chien;Computer Processing of Chinese and Oriental Languages,1990

5. An augmented chart parsing algorithm integrating probabilistic unification grammar and Markov language model for continuous speech recognition;Chien,1990

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1. Correcting Chinese Spelling Errors with Word Lattice Decoding;ACM Transactions on Asian and Low-Resource Language Information Processing;2015-11-11

2. Syllable language models for Mandarin speech recognition: Exploiting character language models;The Journal of the Acoustical Society of America;2013-01

3. An Intelligent Chinese Short Message Input System Using One-Character-One-Key Model;International Journal of Computer Processing of Languages;2011-06

4. SOME ADVANCES IN LANGUAGE MODELING;Advances in Chinese Spoken Language Processing;2006-12

5. LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION FOR MANDARIN CHINESE: PRINCIPLES, APPLICATION TASKS AND PROTOTYPE EXAMPLES;Advances in Chinese Spoken Language Processing;2006-12

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