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

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.

[1]  Lucian Vlad Lita,et al.  tRuEcasIng , 2003, ACL.

[2]  Kenneth Heafield,et al.  KenLM: Faster and Smaller Language Model Queries , 2011, WMT@EMNLP.

[3]  Ashish Vaswani,et al.  Decoding with Large-Scale Neural Language Models Improves Translation , 2013, EMNLP.

[4]  Yoshua Bengio,et al.  Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.

[5]  Dipankar Das,et al.  MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation , 2019, J. Intell. Syst..

[6]  Dipankar Das,et al.  WMT2016: A Hybrid Approach to Bilingual Document Alignment , 2016, WMT.

[7]  Philipp Koehn,et al.  Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.

[8]  Phil Blunsom,et al.  Recurrent Continuous Translation Models , 2013, EMNLP.

[9]  Wang Ling,et al.  Character-based Neural Machine Translation , 2015, ArXiv.

[10]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[11]  R. Darnell.  Translation , 1873, The Indian medical gazette.

[12]  Jason Lee,et al.  Fully Character-Level Neural Machine Translation without Explicit Segmentation , 2016, TACL.

[13]  Philipp Koehn,et al.  Findings of the 2018 Conference on Machine Translation (WMT18) , 2018, WMT.

[14]  Stephen Doherty,et al.  Eye tracking as an MT evaluation technique , 2010, Machine Translation.

[15]  Ming Zhou,et al.  A Recursive Recurrent Neural Network for Statistical Machine Translation , 2014, ACL.

[16]  Yoshua Bengio,et al.  On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.

[17]  Dipankar Das,et al.  BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora , 2017, BUCC@ACL.

[18]  Dipankar Das,et al.  SMT vs NMT: A Comparison over Hindi and Bengali Simple Sentences , 2018, ICON.

[19]  Philip Koehn,et al.  Statistical Machine Translation , 2010, EAMT.

[20]  Dipankar Das,et al.  JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English , 2018, WMT.