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Synopsis
In 10 papers from a May-June 2001 workshop in Pittsburgh, computer scientists summarize the current research into language modeling as a new framework for information retrieval. Until the late 1990s, the two fields were, if not unaware of each other entirely, certainly ensconced on different quadrants of the campus, rarely had occasion to meet, and certainly would never think of trading ideas. Among the topics are probabalistic relevance models based on document and query generation, language modeling and relevance, a probabilistic approach to term translation for cross-lingual retrieval, and applications of score distributions in information retrieval. The index is slender for a volume devoted to information retrieval. Annotation ©2003 Book News, Inc., Portland, OR