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Chinese Word Segmentation Using Minimal Linguistic Knowledge
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In: http://acl.ldc.upenn.edu/acl2003/sighan/ps/Chen.ps (2003)
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Chinese Word Segmentation Using Minimal Linguistic Knowledge
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In: http://acl.ldc.upenn.edu/acl2003/sighan/pdf/Chen.pdf (2003)
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Chinese Word Segmentation Using Minimal Linguistic Knowledge
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In: http://acl.ldc.upenn.edu/acl2003/sighan/pdfs/Chen.pdf (2003)
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Translingual vocabulary mappings for multilingual information access: SIGIR
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In: http://www.mariapinto.es/ciberabstracts/Articulos/larson.pdf (2002)
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Cross-Language Retrieval Experiments at CLEF 2002
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In: http://www.clef-campaign.org/workshop2002/wn/01.pdf (2002)
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Harvesting Translingual Vocabulary Mappings for Multilingual Digital Libraries
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In: http://cheshire.lib.berkeley.edu/p64-larson.pdf (2002)
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Multilingual information retrieval using english and chinese queries
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In: http://www.ercim.org/publication/ws-proceedings/CLEF2/a-chen.pdf (2002)
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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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Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval
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In: http://trec.nist.gov/pubs/trec10/papers/berkeley_trec10.pdf (2001)
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Abstract:
In TREC-10 the Berkeley group participated only in the English-Arabic cross-language retrieval (CLIR) track. One Arabic monolingual run and four English-Arabic cross-language runs were submitted. Our approach to the cross-language retrieval was to translate the English topics into Arabic using online EnglishArabic bilingual dictionaries and machine translation software. The five official runs are named as BKYAAA1, BKYEAA1, BKYEAA2, BKYEAA3, and BKYEAA4. The BKYAAA1 is the Arabic monolingual run, and the rest are English-to-Arabic cross-language runs. The same logistic regression based document ranking algorithm without pseudo relevance feedback was applied in all five runs. We refer the readers to the paper in [1] for details.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.2063 http://trec.nist.gov/pubs/trec10/papers/berkeley_trec10.pdf
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Translation Term Weighting and Combining Translation Resources in
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In: http://trec.nist.gov/pubs/trec10/./papers/berkeley_trec10.ps.gz (2001)
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English-Chinese Cross-Language IR using Bilingual Dictionaries
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In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/trec9.pdf (2001)
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English-chinese cross-language ir using bilingual dictionaries
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In: http://trec.nist.gov/pubs/trec9/papers/trec9_berkeley.ps (2001)
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English-chinese cross-language ir using bilingual dictionaries
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In: http://ucdata.berkeley.edu/personal/fred/my-papers/trec9_berkeley.pdf (2001)
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English-chinese cross-language ir using bilingual dictionaries
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In: http://trec.nist.gov/pubs/trec9/papers/trec9_berkeley.pdf (2001)
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English-Chinese Cross-Language IR using Bilingual Dictionaries
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In: http://trec.nist.gov/pubs/trec9/./papers/trec9_berkeley.ps (2001)
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Phrasal Translation for English-Chinese Cross Language Information Retrieval
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In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/icclc2000.pdf (2000)
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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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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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