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1
Search between Chinese and Japanese text collections
In: http://www.mt-archive.info/NTCIR-2007-Gey.pdf (2007)
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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)
Abstract: For TREC-8, the Berkeley experiments concentrated on the special GIRT collection. We utilized the GIRT thesaurus in multiple ways in working on EnglishGerman 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 Introduction Successful cross-language information retrieval (CLIR) combines linguistic techniques (phrase discovery, machine translation, bilingual dictionary lookup) with robust monolingual information retrieval. The Berkeley group has been using the technique of logistic regression from the beginning of the TREC series of conferences. In TREC-2 [2] we derived a statistical formula for predicting probability of relevance based upon statistical clues contained with documents, queries and collections as a whole. This formula was used for document retrieval in Chinese[3] and Spanish in TREC-4 through TREC-6.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.7064
http://trec.nist.gov/pubs/trec8/./papers/Berkeley-GIRT-trec8.ps
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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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18
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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