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

Autor:	Mahata, Sainik Kumar, Garain, Avishek, Rayala, Adityar, Das, Dipankar, Bandyopadhyay, Sivaji
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: arXiv admin note: substantial text overlap with arXiv:1908.00323
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1908.01349 Zobrazit plný text záznamu View this record from Arxiv