JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English
JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English
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JUMT 参加 WMT2019 新闻翻译任务：立陶宛语到英语机器翻译的混合方法
DOI：
10.18653/v1/w19-5328
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发表时间：
2019
影响因子：
1.9
通讯作者：
Sivaji Bandyopadhyay
中科院分区：
文献类型：
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作者：
S. Mahata;Avishek Garain;Adityar Rayala;Dipankar Das;Sivaji Bandyopadhyay
在目前的工作中，我们对提交给WMT 2019新闻翻译共享任务的系统进行了描述。该系统是为了将立陶宛语的新闻文本翻译成英语而创建的。为了完成给定的任务，我们的系统使用了一个基于词嵌入的神经机器翻译模型来对统计机器翻译模型生成的输出进行后期编辑。本文介绍了我们模型的体系结构、各个模块的描述以及使用这些模块所产生的结果。我们的系统得到了BLEU的17.6分。
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.