Can I read NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task on EtoBox?

NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task by Wang, Rui; Marie, Benjamin; Utiyama, Masao; Sumita, Eiichiro is a scholarly article available to read on EtoBox.

What is NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task about?

This paper presents the NICT's participation in the WMT18 shared parallel corpus filtering task. The organizers provided 1 billion words German-English corpus crawled from the web as part of the Paracrawl project. This corpus is too noisy to build an acceptable neural machine translation (NMT) system. Using the clean data of the WMT18 shared news translation task, we designed several features and trained a classifier to score each sentence pairs in the noisy data. Finally, we sampled 100 million and 10 million words and built corresponding NMT systems. Empirical results show that our NMT systems trained on sampled data achieve promising performance.

Author

Wang, Rui; Marie, Benjamin; Utiyama, Masao; Sumita, Eiichiro

Published

2018

Language

EN