Tomonori Kodaira


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Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language
Mio Arai | Tomonori Kodaira | Mamoru Komachi
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

This study develops an incorrect example retrieval system, called Sakura, using a large-scale Lang-8 dataset for Japanese language learners. Existing example retrieval systems do not include grammatically incorrect examples or present only a few examples, if any. If a retrieval system has a wide coverage of incorrect examples along with the correct counterpart, learners can revise their composition themselves. Considering the usability of retrieving incorrect examples, our proposed system uses a large-scale corpus to expand the coverage of incorrect examples and presents correct expressions along with incorrect expressions. Our intrinsic and extrinsic evaluations indicate that our system is more useful than a previous system.


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The Rule of Three: Abstractive Text Summarization in Three Bullet Points
Tomonori Kodaira | Mamoru Komachi
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation


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Controlled and Balanced Dataset for Japanese Lexical Simplification
Tomonori Kodaira | Tomoyuki Kajiwara | Mamoru Komachi
Proceedings of the ACL 2016 Student Research Workshop