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Abstract: Where there are texts in more than one language, it would be desirable if users could give queries or examples in the language in which they are most competent and obtain relevant text passages in any language. We have developed and tested a prototype system that makes this possible. The system is based entirely on a statistical technique that requires no humanly constructed dictionary, thesaurus, or term bank. The language-independent representation of text has two steps. In the first, done... (Update)
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.... languageindependent representation, such as (bilingual) thesaurus classes [8, 10, 14, 20, 22] and languageindependent vector space models [4, 7, 13]. However, these methods generally require (manual) alignment of bilingual thesauri corpora, and are thus expensive. In addition,...
.... transfer dictionaries (Gey et al., 1999) or corpus based resources, deployed, for instance, by using latent semantic indexing (Landauer Littman, 1990) or similarity thesauri (Sheridan et al., 1997) The use of linguistic knowledge provided by techniques from natural language...
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BibTeX entry: (Update)
Thomas K. Landauer and Michael L. Littman. A statistical method for languageindependent representation of the topical content of text segments. In Proceedings of the Eleventh International Conference: Expert Systems and Their Applications, volume 8, pages 77--85. Avignon France, May 1991. http://citeseer.ist.psu.edu/article/landauer91statistical.html More
@misc{ landauer91statistical,
author = "T. Landauer and M. Littman",
title = "A statistical method for languageindependent representation of the topical
content of text segments",
text = "Thomas K. Landauer and Michael L. Littman. A statistical method for languageindependent
representation of the topical content of text segments. In Proceedings of
the Eleventh International Conference: Expert Systems and Their Applications,
volume 8, pages 77--85. Avignon France, May 1991.",
year = "1991",
url = "citeseer.ist.psu.edu/article/landauer91statistical.html" }
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