Titlebook: Cross-Language Information Retrieval; Gregory Grefenstette Book 1998 Springer Science+Business Media New York 1998 corpus.database.filteri

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The Problem of Cross-Language Information Retrieval,on access, it becomes more common for non-native speakers to explore multilingual text collections. Beyond merely accepting 8-bit accented characters, information retrieval systems should provide help in searching for information across language boundaries. This situation has given rise to a new res

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monogamy

QUAIL

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Mapping Vocabularies Using Latent Semantics,hen confronted with systems that rely on standardized language, such as MeSH, SNOMED, or ICD, and the special terms sets of systems such as HELP, INTERNIST-I/QMR, and DXplain. Indeed, the need to map natural language into appropriate special terms—as well as the need to map one system’s specialized

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CUR

A Language Conversion Front-End for Cross-Language Information Retrieval,tion methods developed for machine translation systems, and is a combination of a statistics-based word selection method where statistical information is extracted from non-parallel corpora, and an interactive user interface to improve the translation quality. We describe its implementation as a fro

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The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Informaranslating queries, or even the entire textual database, from one language to another. The information that machine translation technology can provide to cross-language information retrieval has been more extensively explored at SYSTRAN. This chapter is a description of the implementation of SYSTRAN

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