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2019 ACL ACL 2019

Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task

Abstract

AbstractThis paper describes our submission to Shared Task on Similar Language Translation in Fourth Conference on Machine Translation (WMT 2019). We submitted three systems for Hindi -> Nepali direction in which we have examined the performance of a RNN based NMT system, a semi-supervised NMT system where monolingual data of both languages is utilized using the architecture by and a system trained with extra synthetic sentences generated using copy of source and target sentences without using any additional monolingual data.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — synthetic sentence
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Speech & Audio

Authors

Jyotsana Khatri , Pushpak Bhattacharyya

Topics

Machine Learning > Learning Types > Semi-Supervised Learning Natural Language Processing > Applications > Machine Translation Natural Language Processing > Generation > Machine Translation Deep Learning > Learning Types > Semi-Supervised Learning Deep Learning > Learning Types > Neural Machine Translation

Keywords

semi-supervised learning neural machine translation recurrent neural network monolingual datum similar language translation synthetic sentence
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