WordNet-based semantic relatedness measures in automatic speech recognition for meetings

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 129-132

  Pucher, Michael ^a,b  

^a TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SPEECH RECOGNITION;

AUTOMATIC SPEECH RECOGNITION; BASELINE MODELS; N-BEST LIST; N-GRAMS; RELATEDNESS MEASURES; SEMANTIC RELATEDNESS; SIMPLE++; WORD ERROR RATE; WORDNET;

ONTOLOGY;

EID: 84863279113     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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3. Jerome Bellegarda. 2000. Large vocabulary speech recognition with multispan statistical language models. IEEE Transactions on Speech and Audio Processing, 8(1), January.
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8. Michael Pucher. 2005. Performance evaluation of WordNet-based semantic relatedness measures for word prediction in conversational speech. In IWCS 6, Sixth International Workshop on Computational Semantics, Tilburg, Netherlands.
9. H Schmid. 1994. Probabilistic part-of-speech tagging using decision trees. In Proceedings of International Conference on New Methods in Language Processing, Manchester, UK, September.