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JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English

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arxiv 1908.01349 v1 pith:ZQCJRTV2 submitted 2019-08-01 cs.CL

Sainik Kumar Mahata , Avishek Garain , Adityar Rayala , Dipankar Das , Sivaji Bandyopadhyay This is my paper · ORCID
classification cs.CL
keywords translationsystemmachinemodelnewstaskcurrentenglish
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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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