QRselect: a user-driven system for collecting translation document pairs from the web

Authors:
Kyo Kageura;Takeshi Abekawa;Satoshi Sekine
Affiliations:
Graduate School of Education, University of Tokyo, Tokyo, Japan;Graduate School of Education, University of Tokyo, Tokyo, Japan;Computer Science Department, New York University, New York, NY
Venue:
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Year:
2007

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Abstract

In this paper we introduce a system that collects English-Japanese translation document pairs from the Web that are relevant to subject keywords specified by the user. The system, QRselect, is specifically designed to meet the needs of online volunteer translators who, in the process of translation, want to refer to a small and specific set of translation document pairs which are relevant to what they are translating. A system which collects relevant existing translated documents and makes them available for reference in the translation process will therefore greatly help these translators. Against this backdrop, we developed a prototype translated document collection system and evaluated its performance. We also examined the users' role in improving the system.