IBM / Wall Street Journal / IEEE Intelligent Systems / 98052 Microsoft / Google / WA 98052 Microsoft Corporation / Human Language Technologies / MEDLINE / Grolier / Microsoft / Facebook / /
Country
United States / / /
Facility
efficiently store / Pennsylvania State University / /
IndustryTerm
web language information / web search query language / web count information / different web-scale language models / Web N-gram Language Models Collection / web users / web-scale language modeling techniques / web document / Web n-gram / query processing / Web 1T / web-scale smoothed language models / Web-scale n-gram models / web document sources / web sources / web n-gram models / web-search queries / healthcare management / proposed segmentation algorithm / maximum likelihood fashion using web counts / unlabeled web data / web-scale applications / real world applications / web search queries / unfiltered web data / unsupervised web-based models / web-scale language models / web language modeling / smoothed web language models / web map / post processing step / user search experience / web context / query centric applications / 1T web corpus / Web N-gram Service / WEB N-GRAM LANGUAGE MODEL COLLECTION On / different web sources / raw web / Raw web frequency / raw web counts / wide web offers / web scale n-gram language models / web queries / raw web count / search query processing tasks / hierarchical long query segmentation method using web language models / search query logs / Search engine statistics / real-world applications / web n-gram language / cloud computing infrastructure / web documents / query processing tasks / web crawl / web documents2 / trilliontoken web corpus / Web Scale Language Models / web language / sampled search queries / web search engine / search engines / misspelt web search engine queries / web search engines / web scale data / web machine translation system / search query processing / web scale / web search query spelling correction / web search / web page hit counts / search queries / word processing setting / search query log / web scale n-gram models / web n-gram language models / web search setting / word processing products / web language models / web data / search engine / web counts / search results / using raw web count / /
Organization
Pennsylvania State University University / Bing It On N-gram Service / K. Church / International World Wide Web Conference Committee / North American Chapter / American Society for Information Science and Technology / Association for Computational Linguistics / Dataset Association / /
Person
Bing It / Jian Huang / Wang Fritz Behr / C. Lee Giles / / /
Position
rst author / VP / General / statistical model for not properly normalizing the probabilities / /
Product
Microsoft Corporation Portable Audio Device / Facebook 704 Hibiscus Place San Jose / /
ProvinceOrState
Pennsylvania / North Carolina / California / /
PublishedMedium
the Wall Street Journal / Computational Linguistics / IEEE Intelligent Systems / /
Exploring Web Scale Language Models for Search Query Processing Jian Huang ∗