XNMT: The eXtensible Neural Machine Translation Toolkit

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing. XNMT is available open-source at https://github.com/neulab/xnmtComment: To be presented at AMTA 2018 Open Source Software Showcas

The QT21 Combined Machine Translation System for English to Latvian

This paper describes the joint submis- sion of the QT21 projects for the English → Latvian translation task of the EMNLP 2017 Second Conference on Ma- chine Translation (WMT 2017). The sub- mission is a system combination which combines seven different statistical ma- chine translation systems provided by the different groups. The systems are combined using either RWTH’s system combination approach, or USFD’s consensus-based system- selection approach. The final submission shows an improvement of 0.5 B LEU compared to the best single system on newstest2017