Creating a Noisy Parallel Corpus from Newswire Articles Using Cross-Language Information Retrieval (特集:マルチメディア通信と分散処理)

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概要

• 論文の詳細を見る

• In this paper we present an adaptation of cross-language information retrieval for the production of an aligned bilingual corpus from niosy-parallel English-Japanese newswire articles. We implement the standard vector space model and show though simulation the effectiveness of five variations for the alignment task. The methods are computationally efficient, easy to evaluate, and generalizable to other genres and language pairs-an important factor if we are to use the aligned articles for knowledge acquisition in unrestricted domains. Our results show that alignment precision levels of over 70% at 70% recall are possible.

• 一般社団法人情報処理学会の論文
• 1999-01-15

著者

• Collier N

  Communication And Information System's Laboratory Research And Development Center Toshiba Corpo

• Nigel Collier

  Communication And Information Systems Research Laboratories Research And Development Center Toshiba

• Collier Nigel

  東京大学

• Collier N

  Associate Professor National Institute Of Informatics

• Hirakawa Hideki

  Communication and Information Systems Research Laboratories Research and Development Center, Toshiba

• HIRAKAWA Hideki

  Genetic Regulation, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University

• COLLIER NIGEL

  Communication and Information System's Laboratory, Research and Development Center, Toshiba Corporat

• KUMANO AKIRA

  Communication and Information System's Laboratory, Research and Development Center, Toshiba Corporat

• Kumano A

  Communication And Information System's Laboratory Research And Development Center Toshiba Corpo

• Hirakawa H

  Genetic Regulation Graduate School Of Bioresource And Bioenvironmental Sciences Kyushu University

• Kumano Akira

  Communication and Information System's Laboratory, Research and Development Center, Toshiba Corporation

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