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2016 COLING COLING 2016

MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation

Abstract

AbstractThe paper introduces a web-based authoring support system, MuTUAL, which aims to help writers create multilingual texts. The highlighted feature of the system is that it enables machine translation (MT) to generate outputs appropriate to their functional context within the target document. Our system is operational online, implementing core mechanisms for document structuring and controlled writing. These include a topic template and a controlled language authoring assistant, linked to our statistical MT system.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — document structuring
🐣 Hot Topic Early Bird — statistical machine translation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing

Authors

Rei Miyata , Anthony Hartley , Kyo Kageura , Cecile Paris , Masao Utiyama , Eiichiro Sumita

Topics

Natural Language Processing > Applications > Machine Translation Machine Learning > Learning Types > Transfer Learning Natural Language Processing > Generation > Machine Translation

Keywords

multilingual text statistical machine translation document structuring controlled language authoring support contextual translation controlled writing
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