Contextual information improves OOV detection in speech

NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2010, Pages 216-224

  Parada, Carolina ^a   Dredze, Mark ^a   Filimonov, Denis ^b   Jelinek, Frederick ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFICATION; CONTEXTUAL INFORMATION; DOWNSTREAM APPLICATIONS; FALSE ALARM RATE; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; LOCAL INFORMATION; PIPE-LINE SYSTEMS;

COMPUTATIONAL LINGUISTICS; CONTINUOUS SPEECH RECOGNITION;

ERROR DETECTION;

EID: 84858389003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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