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We show that the tight integration mutually benefits Automatic Speech Recognition and improves the search. In the second part of the paper, we discuss the use of finite-state techniques for spoken language understanding, in particular, to segment an input query into its component semantic fields so as to improve search as well as to extend the functionality of the system and be able to execute the user's request against a backend database.<\/jats:p>","DOI":"10.1017\/s1351324911000040","type":"journal-article","created":{"date-parts":[[2011,3,21]],"date-time":"2011-03-21T10:22:13Z","timestamp":1300702933000},"page":"243-264","source":"Crossref","is-referenced-by-count":2,"title":["Finite-state models for speech-based search on mobile devices"],"prefix":"10.1017","volume":"17","author":[{"given":"TANIYA","family":"MISHRA","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SRINIVAS","family":"BANGALORE","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2011,3,21]]},"reference":[{"key":"S1351324911000040_ref24","unstructured":"Tomuro N. and Lytinen S. 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