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Information retrieval / Natural language processing / User interface techniques / Markov models / Directory assistance / Speech recognition / Web search engine / N-gram / Language model / Information science / Science / Computational linguistics


Automated Directory Assistance System - from Theory to Practice Dong Yu, Yun-Cheng Ju, Ye-Yi Wang, Geoffrey Zweig, and Alex Acero Microsoft Research, One Microsoft Way, Redmond, WA 98052, USA {dongyu, yuncj, yeyiwang, gz
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Document Date: 2007-03-26 01:11:28


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City

ADAS / /

Company

Wal-Mart / Pietra S. A. D. / McGraw-Hill / Walmart / CPA Corp / Microsoft Corporation / Starbucks / /

Country

United States / China / /

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Facility

Calabria Restaurant / store Starbucks Coffee / First St. Cafe / Conclusion Building / When building / Kung Ho Chinese Restaurant / St. Paul Cathedral / Kung Ho Restaurant / /

IndustryTerm

search takes / search index / doubled search time / inner product / automatic word breaking algorithm / search path / search turn / carrier phrases / search problem / database pre-processing strategies / similar technologies / search algorithm / search algorithms / search score / search model / search errors / search engines / voice search problem / search accuracy / voice search formulation / search component / data pre-processing / large scale spoken dialog systems / business listing search / search engine / search efficiency / voice search / /

OperatingSystem

Windows XP / /

Organization

US Federal Reserve / /

Person

Alex Acero / Yun-Cheng Ju / Gates Mason / Geoffrey Zweig / /

Position

straight forward / locksmith / /

Product

Microsoft Corporation Portable Audio Device / MaxEnt / tried using the MaxEnt / /

PublishedMedium

Computational Linguistics / /

RadioStation

Utterance AM / /

Technology

speech recognition / RAM / search algorithm / search algorithms / improved TFIDF algorithm / automatic word breaking algorithm / search engine / Natural Language Processing / MaxEnt algorithm / conducted using an improved TFIDF algorithm / /

SocialTag