JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English
August 01, 2019 ยท Declared Dead ยท ๐ Conference on Machine Translation
"No code URL or promise found in abstract"
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Authors
Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay
arXiv ID
1908.01349
Category
cs.CL: Computation & Language
Citations
3
Venue
Conference on Machine Translation
Last Checked
4 months ago
Abstract
In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to English. To accomplish the given task, our system used a Word Embedding based Neural Machine Translation model to post edit the outputs generated by a Statistical Machine Translation model. The current paper documents the architecture of our model, descriptions of the various modules and the results produced using the same. Our system garnered a BLEU score of 17.6.
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