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NTCIR-6 Monolingual Chinese and English-Chinese CrossLingual Question Answering Experiments using PIRCS
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In: http://www.mt-archive.info/NTCIR-2007-Kwok-2.pdf (2007)
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NTCIR-6 monolingual Chinese and English-Chinese cross-language retrieval experiments using pircs
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/37.pdf (2007)
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NTICR-4 Chinese, English Korean Cross Language Retrieval Experiments using PIRCS
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings5/data/CLIR/NTCIR5-CLIR-KwokK.pdf (2004)
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NTICR-4 Chinese, English Korean Cross Language Retrieval Experiments using PIRCS
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In: http://www.mt-archive.info/NTCIR-2005-Kwok.pdf (2004)
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Improving English and Chinese ad-hoc retrieval: a Tipster Text Phase 3 project report. Information Retrieval
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In: http://acl.ldc.upenn.edu/X/X98/X98-1019.pdf (2000)
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[Tipster 1998] IMPROVING ENGLISH AND CHINESE AD-HOC RETRIEVAL: TIPSTER TEXT PHASE 3 FINAL REPORT
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In: http://www.mt-archive.info/Tipster-1998-Kwok.pdf
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GeoName: a system for back-transliterating pinyin place names
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In: http://www.metacarta.com/kornai/NAACL/WS9/Conf/ws905.ps.gz
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GeoName: a system for back-transliterating pinyin place names
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In: http://acl.ldc.upenn.edu/W/W03/W03-0104.pdf
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Abstract:
To be unambiguous about a Chinese geographic name represented in English text as Pinyin, one needs to recover the name in Chinese characters. We present our approach to this back-transliteration problem based on processes such as bilingual geographic name lookup, name suggestion using place name character and pair frequencies, and confirmation via a collection of monolingual names or the WWW. Evaluation shows that about 48% to 72% of the correct names can be recovered as the top candidate, and 82% to 86% within top ten, depending on the processes employed.
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URL: http://acl.ldc.upenn.edu/W/W03/W03-0104.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.6710
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