Referenced Items are not available for this document.
Voice search technology has been successfully applied to help drivers reply SMS messages in automobiles, in which a predefined SMS message template set is searched with ASR hypotheses to form the reply candidate list. In order to efficiently organize the SMS message template set and improve the quality of the reply candidate list, we proposed to apply n-gram translation model and logistic regression to detect paraphrase SMS messages. Both of the proposed algorithms outperform the edit distance based paraphrase detection baseline, brining 40.9% and 50.5% EER reduction (relative), respectively.
Published in:
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Date of Conference: 14-19 March 2010
- Page(s):
- 5326 - 5329
- ISSN :
- 1520-6149
- E-ISBN :
- 978-1-4244-4296-6
- Print ISBN:
- 978-1-4244-4295-9
- INSPEC Accession Number:
- 11553513
- Conference Location :
- Dallas, TX
- Digital Object Identifier :
- 10.1109/ICASSP.2010.5494959
- Product Type:
- Conference Publications
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