EMNLP 2017 - Second Conference on Machine Translation (WMT17)

This year's conference will feature the following shared tasks:

• a news translation task,
• a biomedical translation task ,
• an automatic post-editing task,
• a metrics task (assess MT quality given reference translation).
• a quality estimation task (assess MT quality without access to any reference),
• a multimodal translation task
• a task dedicated to the training of neural MT systems
• a task on bandit learning for MT

In addition to the shared tasks, the conference will also feature scientific papers on topics related to MT. Topics of interest include, but are not limited to:

• word-based, phrase-based, syntax-based, semantics-based SMT
• neural machine translation
• using comparable corpora for SMT
• incorporating linguistic information into SMT
• decoding
• system combination
• error analysis
• manual and automatic method for evaluating MT
• scaling MT to very large data sets