How to drink from a fire hose: One person can annoscribe 693 thousand utterances in one month

Proceedings of the SIGDIAL 2010 Conference: 11th Annual Meeting of the Special Interest Group onDiscourse and Dialogue

Volumn , Issue , 2010, Pages 257-260

  Suendermann, David ^a   Liscombe, Jackson ^a   Pieraccini, Roberto ^a  

^a SpeechCycle Labs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FIRE-HOSE; NATURAL LANGUAGE PROCESSING; PART OF SPEECH; PERFORMANCE ANALYSIS; SEMANTIC ANNOTATIONS; SPOKEN DIALOG SYSTEMS; PERFORMANCE TUNING; PERFORMANCES ANALYSIS; SPOKEN DIALOGUE SYSTEM;

COMPUTATIONAL LINGUISTICS; HYDRANTS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

HOSE; SEMANTICS;

EID: 84857762767     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. 5. In Proc. of the SLT, Goa, India.
4. D. Suendermann, J. Liscombe, K. Dayanidhi, and R. Pieraccini. 2009a. Localization of Speech Recognition in Spoken Dialog Systems: How Machine Translation Can Make Our Lives Easier. In Proc. of the Interspeech, Brighton, UK.
5. D. Suendermann, J. Liscombe, K. Evanini, K. Dayanidhi, and R. Pieraccini. 2009b. From Rule-Based to Statistical Grammars: Continuous Improvement of Large-Scale Spoken Dialog Systems. In Proc. of the ICASSP, Taipei, Taiwan.
6. A. Waibel and K.-F. Lee. 1990. Readings in Speech Recognition. Morgan Kaufmann, San Francisco, USA.
7. D. Yuk and J. Flanagan. 1999. Telephone Speech Recognition Using Neural Networks and Hidden Markov Models. In Proc. of the ICASSP, Phoenix, USA.