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• W2970792434 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." @default.
• W2970792434 created "2019-09-05" @default.
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• W2970792434 date "2019-01-01" @default.
• W2970792434 modified "2023-09-23" @default.
• W2970792434 title "JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English" @default.
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• W2970792434 doi "https://doi.org/10.18653/v1/w19-5328" @default.
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