A unified approach to statistical language modeling for Chinese

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2000, Pages 1703-1706

  Gao, Jianfeng ^a   Wang, Hai Feng ^a   Li, Mingjing ^a   Lee, Kai Fu ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DEEP NEURAL NETWORKS; MAXIMUM LIKELIHOOD; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SIGNAL PROCESSING; SPEECH PROCESSING; ALGORITHMS; INFORMATION RETRIEVAL; ITERATIVE METHODS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PARAMETER ESTIMATION; SPEECH INTELLIGIBILITY; STATISTICAL METHODS;

CHINESE STATISTICAL LANGUAGE MODELING; COMBINED METHOD; HIGH QUALITY; MAXIMUM LIKELIHOOD PRINCIPLE; STANDARD DEFINITIONS; STATISTICAL LANGUAGE MODELING; TRAINING DATA; UNIFIED APPROACH;

UNIFIED MODELING LANGUAGE; SPEECH RECOGNITION;

CHINESE LANGUAGE; ITERATIVE JOINT OPTIMIZATION; LEXICON; MAXIMUM MATCHING; PERPLEXITY; STATISTICAL LANGUAGE MODELING;

EID: 0033677052     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.862079     Document Type: Conference Paper

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