ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Understanding Natural Language
Understanding Natural Language
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
A Rational Design for a Weighted Finite-State Transducer Library
WIA '97 Revised Papers from the Second International Workshop on Implementing Automata
Lucene in Action (In Action series)
Lucene in Action (In Action series)
New Directions in Question Answering
New Directions in Question Answering
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Generalized algorithms for constructing statistical language models
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Baseball: an automatic question-answerer
IRE-AIEE-ACM '61 (Western) Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference
Progress in natural language understanding: an application to lunar geology
AFIPS '73 Proceedings of the June 4-8, 1973, national computer conference and exposition
Lattice-based minimum error rate training for statistical machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A data driven approach to relevancy recognition for contextual question answering
IQA '06 Proceedings of the Interactive Question Answering Workshop at HLT-NAACL 2006
Qme!: a speech-based question-answering system on mobile devices
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Thinking outside the box for natural language processing
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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In this paper, we present techniques that exploit finite-state models for voice search applications. In particular, we illustrate the use of finite-state models for encoding the search index in order to tightly integrate the speech recognition and the search components of a voice search system. 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.