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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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Abstract:
Most news documents are about something which happened in some place at some particular time. Thus news documents can, in principle, be searched on these dimensions. The reality, as with all information retrieval, is more complex. Place names are ambiguous (e.g. is Aberdeen in Scotland, Maryland or Sri Lanka?) and time periods are described with indistinctness (e.g. “Gulf War Period”). Even more complex is text in an unfamiliar natural language. However if these problems can be overcome, geographic and temporal querying can be done using a map paradigm as the interface. A capability to be demonstrated at SIGIR 2004 shows querying for Hindi documents for the TIDES Surprise Language Exercise of June 2003 using a geographic and temporal editing and browsing interface, TimeMap developed and moved to open source by University of Sydney and the Electronic Cultural Atlas Initiative group at UC Berkeley. Place name entity extraction and gazetteer entries locate the latitude/longitude of the place, then load the time and place of the story into a map display. This map includes links to the original story. The mapping capability also incorporates a time window which shows where stories are located within a moving time frame (say, weekly or daily). The temporal mapping software was adapted to interface to Hindi data in the DARPA TIDES Surprise Language exercise (Gey & Chen 2003, Oard 2003) and enabled a display which coordinates story, time-of-story and location of story. See:
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2452
http://ucdata.berkeley.edu/staff/gey/papers/geotemporal-access-ecdl-2004-poster.pdf
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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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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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