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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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Abstract:
This paper reports on the work of Berkeley group at the second NTCIR workshop on Japanese & English IR and Chinese IR. A number of runs were submitted on all subtasks in the two main tasks. Our main focus on the Japanese monolingual subtask was on comparing the retrieval effectiveness of different segmentation methods. The experimental results show the bigram indexing outperformed the word-based indexing in Japanese monolingual retrieval. The bigram indexing was also highly effective in Chinese monolingual retrieval. This paper presents an alternative segmentation method that breaks text into onecharacter terms and two-character terms that do not overlap with each other, which overcomes the disadvantage of producing large index files by bigram indexing. This paper describes a technique for building bilingual word lexicons from parallel text by sentence alignment and word association. A purely rank-based document polling strategy is presented for combining monolingual retrieval results in multilingual retrieval. Keywords: Japanese IR, Chinese IR, Cross-language IR, word segmentation, word alignment 1
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URL: http://metadata.sims.berkeley.edu/GrantSupported/./papers/ntcir2001.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2365
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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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