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Search between Chinese and Japanese text collections
In: http://www.mt-archive.info/NTCIR-2007-Gey.pdf (2007)
Abstract: For NTCIR Workshop 6 UC Berkeley participated in Phase 1 of the bilingual task of the CLIR track. Our focus was upon Japanese topic search against the Chinese News Document Collection and upon Chinese topic searches retrieving from Japanese News document collection. We performed search experiments to segment and use Chinese search topics directly as if they were Japanese topics and vice versa. We also utilized Machine Translation (MT) software between Japanese and Chinese, with English as a pivot language. While Chinese search without translation against Japanese documents performed credibly well for title only runs, the reverse (Japanese topic search of Chinese documents without translation) was poor. We are investigating the reasons.
Keyword: Cross-Language Information Retrieval; NTCIR
URL: http://www.mt-archive.info/NTCIR-2007-Gey.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.515.7272
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2
Search between Chinese and Japanese text collections
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/56.pdf (2007)
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3
New directions in multilingual information access: Introduction to the workshop at SIGIR 2006
In: http://www.sigir.org/forum/2006D/2006d_sigirforum_gey.pdf (2006)
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4
The query answering system Prodicos
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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5
How Similar are Chinese and Japanese for Cross-Language Information Retrieval
In: http://www.mt-archive.info/NTCIR-2005-Gey.pdf (2005)
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6
Geotemporal access to multilingual documents
In: http://ucdata.berkeley.edu/staff/gey/papers/geotemporal-access-ecdl-2004-poster.pdf (2004)
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7
Berkeley at NTCIR-2: Chinese, Japanese, and English IR Experiments
In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/ntcir2001.pdf (2001)
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8
Research to Improve Cross-Language Retrieval { Position Paper for CLEF
In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/clef-position-paper.ps (2001)
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9
Automatic Construction of a Japanese-English Lexicon and its Application in Cross-Language Information Retrieval
In: http://www.clis.umd.edu/conferences/midas/papers/chen.ps (1999)
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10
English-German Cross-Language Retrieval for the GIRT Collection - Exploiting a Multilingual Thesaurus
In: http://trec.nist.gov/pubs/trec8/papers/Berkeley-GIRT-trec8.pdf (1999)
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11
English-German Cross-Language Retrieval for the GIRT Collection -- Exploiting a Multilingual Thesaurus
In: http://trec.nist.gov/pubs/trec8/./papers/Berkeley-GIRT-trec8.ps (1999)
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12
Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Cheshire II at TREC-7
In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.ps (1998)
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13
Phrase Discovery for English and Cross-language Retrieval at TREC-6
In: http://trec.nist.gov/pubs/trec6/papers/brkly.ps (1998)
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14
Berkeley at NTCIR-2: Chinese, Japanese, and English IR Experiments
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings2/ntcir2_berkeley.pdf
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15
Prospects for Machine Translation of the Tamil Language
In: http://www.infitt.org/ti2002/papers/47FGEY.PDF
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16
Working with Russian Queries for the GIRT, Bilingual and Multilingual CLEF Tasks
In: http://www.ercim.eu/publication/ws-proceedings/CLEF2/gey.pdf
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17
Zacharek A, Jiang H
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
In: http://metadata.sims.berkeley.edu/papers/clef-position-paper.pdf
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19
and
In: http://www.glue.umd.edu/~oard/papers/trec2002overview.pdf
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20
and
In: http://terpconnect.umd.edu/~oard/pdf/trec2002overview.pdf
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