Simulating early-termination search for verbose spoken queries

Jerome White, Douglas W. Oard, Nitendra Rajput, Marion Zalk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Building search engines that can respond to spoken queries with spoken content requires that the system not just be able to find useful responses, but also that it know when it has heard enough about what the user wants to be able to do so. This paper describes a simulation study with queries spoken by non-native speakers that suggests that indicates that finding relevant content is often possible within a half minute, and that combining features based on automatically recognized words with features designed for automated prediction of query difficulty can serve as a useful basis for predicting when that useful content has been found.

Original languageEnglish (US)
Title of host publicationEMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1270-1280
Number of pages11
ISBN (Electronic)9781937284978
StatePublished - Jan 1 2013
Event2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 - Seattle, United States
Duration: Oct 18 2013Oct 21 2013

Publication series

NameEMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Other

Other2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013
CountryUnited States
CitySeattle
Period10/18/1310/21/13

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems
  • Computer Vision and Pattern Recognition

Cite this

White, J., Oard, D. W., Rajput, N., & Zalk, M. (2013). Simulating early-termination search for verbose spoken queries. In EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 1270-1280). (EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL).