Hirokazu Suzuki

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2011

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Automatic Post-Editing based on SMT and its selective application by Sentence-Level Automatic Quality Evaluation
Hirokazu Suzuki
Proceedings of Machine Translation Summit XIII: Papers

2005

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Learning Translations from Monolingual Corpora
Hirokazu Suzuki | Akira Kumano
Proceedings of Machine Translation Summit X: Papers

This paper proposes a method for a machine translation (MT) system to automatically select and learn translation words, which suit the user’s tastes or document fields by using a monolingual corpus manually compiled by the user, in order to achieve high-quality translation. We have constructed a system based on this method and carried out experiments to prove the validity of the proposed method.
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