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Search between Chinese and Japanese text collections
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In: http://www.mt-archive.info/NTCIR-2007-Gey.pdf (2007)
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Search between Chinese and Japanese text collections
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/56.pdf (2007)
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New directions in multilingual information access: Introduction to the workshop at SIGIR 2006
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In: http://www.sigir.org/forum/2006D/2006d_sigirforum_gey.pdf (2006)
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The query answering system Prodicos
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In: Proceedings of Accessing Multilingual Information Repositories: 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Revised Selected Papers, Vienna, Austria, September 2005 ; CLEF 2005 ; https://hal.archives-ouvertes.fr/hal-00444437 ; CLEF 2005, 2006, Austria. pp.527--534 (2006)
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How Similar are Chinese and Japanese for Cross-Language Information Retrieval
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In: http://www.mt-archive.info/NTCIR-2005-Gey.pdf (2005)
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Geotemporal access to multilingual documents
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In: http://ucdata.berkeley.edu/staff/gey/papers/geotemporal-access-ecdl-2004-poster.pdf (2004)
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Berkeley at NTCIR-2: Chinese, Japanese, and English IR Experiments
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In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/ntcir2001.pdf (2001)
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Research to Improve Cross-Language Retrieval { Position Paper for CLEF
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In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/clef-position-paper.ps (2001)
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Automatic Construction of a Japanese-English Lexicon and its Application in Cross-Language Information Retrieval
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In: http://www.clis.umd.edu/conferences/midas/papers/chen.ps (1999)
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English-German Cross-Language Retrieval for the GIRT Collection - Exploiting a Multilingual Thesaurus
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In: http://trec.nist.gov/pubs/trec8/papers/Berkeley-GIRT-trec8.pdf (1999)
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Abstract:
For TREC-8, the Berkeley experiments concentrated on the special GIRT collection. We utilized the GIRT thesaurus in multiple ways in working on English-German Cross-Language IR. Since the GIRT collection is truly multilingual (documents contain both German and English text), one would expect multilingual queries to achieve the best performance. This proved not to be the case. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6427 http://trec.nist.gov/pubs/trec8/papers/Berkeley-GIRT-trec8.pdf
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English-German Cross-Language Retrieval for the GIRT Collection -- Exploiting a Multilingual Thesaurus
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In: http://trec.nist.gov/pubs/trec8/./papers/Berkeley-GIRT-trec8.ps (1999)
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Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Cheshire II at TREC-7
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In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.ps (1998)
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Phrase Discovery for English and Cross-language Retrieval at TREC-6
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In: http://trec.nist.gov/pubs/trec6/papers/brkly.ps (1998)
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Berkeley at NTCIR-2: Chinese, Japanese, and English IR Experiments
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings2/ntcir2_berkeley.pdf
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Prospects for Machine Translation of the Tamil Language
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In: http://www.infitt.org/ti2002/papers/47FGEY.PDF
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Working with Russian Queries for the GIRT, Bilingual and Multilingual CLEF Tasks
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In: http://www.ercim.eu/publication/ws-proceedings/CLEF2/gey.pdf
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Zacharek A, Jiang H
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In: http://metadata.sims.berkeley.edu/papers/clef-main-paper.pdf
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Research to improve Cross-Language Retrieval. Position Paper for CLEF
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In: http://metadata.sims.berkeley.edu/papers/clef-position-paper.pdf
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and
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In: http://www.glue.umd.edu/~oard/papers/trec2002overview.pdf
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and
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In: http://terpconnect.umd.edu/~oard/pdf/trec2002overview.pdf
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