Comparing and combining generative and posterior probability models: Some advances in sentence boundary detection in speech

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004 - A meeting of SIGDAT, a Special Interest Group of the ACL held in conjunction with ACL 2004

Volumn , Issue , 2004, Pages 64-71

  Liu, Yang ^a   Stolcke, Andreas ^b   Shriberg, Elizabeth ^b   Harper, Mary ^a  

^a PURDUE UNIVERSITY   (United States)

^b ICSI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION;

CONTINUOUS SPEECH; HIDDEN MARKOV; MARKOV SEQUENCE; MAXIMUM ENTROPY FRAMEWORKS; MODEL-BASED OPC; N-GRAMS; POSTERIOR PROBABILITY; PROBABILITY MODELLING; SENTENCE BOUNDARY DETECTION; SEQUENCE MODELS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 85117232702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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