Data

Wikipedia CJK Corpora

Queensland University of Technology
Tang, Ling-Xiang ; Geva, Shlomo
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/587dac9dd6f7b&rft.title=Wikipedia CJK Corpora&rft.identifier=10.4225/09/587dac9dd6f7b&rft.publisher=Queensland University of Technology&rft.description=Wikipedia web pages in different languages are rarely linked except for the cross-lingual link between web pages about the same subject. Collected in June 2010, this data collection consists of 10GB of tagged Chinese, Japanese and Korean articles, converted from Wikipedia to an XML structure by a multi-lingual adaptation of the YAWN system (see Related Information). Data were collected as part of the NII Test Collection for IR Systems (NTCIR) Project, which aims to enhance research in Information Access (IA) technologies, including information retrieval, to enhance cross-lingual link discovery (a way of automatically finding potential links between documents written in different languages). Through cross-lingual link discovery, users are able to discover documents in languages which they are either familiar with, or which have a richer set of documents than in their language of choice.&rft.creator=Tang, Ling-Xiang &rft.creator=Geva, Shlomo &rft.date=2012&rft.edition=1&rft.relation=http://eprints.qut.edu.au/49125/&rft.relation=http://eprints.qut.edu.au/49128/&rft.relation=http://eprints.qut.edu.au/49127/&rft.coverage=&rft_rights=©&rft_rights=Creative Commons Attribution-Share Alike 3.0 http://creativecommons.org/licenses/by-sa/3.0/au/&rft_subject=Link recommendation&rft_subject=Information Retrieval and Web Search&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=LIBRARY AND INFORMATION STUDIES&rft_subject=Evaluation tool&rft_subject=Cross-lingual link discovery (CLLD)&rft_subject=Assessment tool&rft_subject=Wikipedia&rft_subject=Evaluation metrics&rft_subject=Anchor identification&rft_subject=Validation tool&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

Open Licence view details
CC-BY-SA

Creative Commons Attribution-Share Alike 3.0
http://creativecommons.org/licenses/by-sa/3.0/au/

©

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Other

Contact Information

Postal Address:
Shlomo Geva

s.geva@qut.edu.au

Full description

Wikipedia web pages in different languages are rarely linked except for the cross-lingual link between web pages about the same subject. Collected in June 2010, this data collection consists of 10GB of tagged Chinese, Japanese and Korean articles, converted from Wikipedia to an XML structure by a multi-lingual adaptation of the YAWN system (see Related Information). Data were collected as part of the NII Test Collection for IR Systems (NTCIR) Project, which aims to enhance research in Information Access (IA) technologies, including information retrieval, to enhance cross-lingual link discovery (a way of automatically finding potential links between documents written in different languages). Through cross-lingual link discovery, users are able to discover documents in languages which they are either familiar with, or which have a richer set of documents than in their language of choice.

Data time period: 06 2010 to 30 06 2010

This dataset is part of a larger collection

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Related Publications

  • Associated with Tang, Ling-Xiang, Cavanagh, Daniel, Trotman, Andrew, Geva, Shlomo, and Xu, Yue. (2011). Automated cross-lingual link discovery in Wikipedia. In Kando, Noriko, Ishikawa, Daisuke, and Sugimoto, Miho (Eds.) Proceedings of the NTCIR-9 Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access, National Institute of Informatics, National Center of Sciences, Tokyo, pp. 512-519.
    uri : eprints.qut.edu.au/49125/
  • Associated with Tang, Ling-Xiang, Geva, Shlomo, Trotman, Andrew, Xu, Yue, and Itakura, Kelly. (2011). Overview of the NTCIR-9 crosslink task: cross-lingual link discovery. In Kando, Noriko, Ishikawa, Daisuke, and Sugimoto, Miho (Eds.) Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retreival, Question Answering and Cross-Lingual Information Access, National Institute of Informatics, National Center of Sciences, Tokyo, pp. 437-463.
    uri : eprints.qut.edu.au/49127/
  • Associated with Tang, Ling-Xiang, Itakura, Kelly, Geva, Shlomo, Trotman, Andrew, and Xu, Yue. (2011). The effectiveness of cross-lingual link discovery. In Kishida, Kazuaki, Sanderson, Mark, Webber, William, Kando, Noriko, Ishikawa, Noriko, and Sugimoto, Miho (Eds.) Proceedings of The Fourth International Workshop on Evaluating Information Access, National Insitute of Informatics (Japan), National Institute of Informatics, Tokyo, pp. 1-8.
    uri : eprints.qut.edu.au/49128/

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Subjects
Anchor identification | Assessment tool | Cross-lingual link discovery (CLLD) | Evaluation metrics | Evaluation tool | Information and Computing Sciences | Information Retrieval and Web Search | Library and Information Studies | Link recommendation | Validation tool | Wikipedia |

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