NMT 2018 - 2nd Workshop on Neural Machine Translation and Generation (NMT2018)

We will also feature invited talks from leading researchers (last year: Chris Dyer, Kevin Knight, Alexander Rush, Quoc Le, this year confirmed: Jacob Devlin, Rico Sennrich) in the field, and also accept submissions of both completed and forward-looking work which will be presented either as oral presentations or during a poster session.
Topics of Interest
The workshop is broad in scope and invites original research contributions on all topics where neural networks are involved in the field of machine translation. The topics of interest include, but are not limited to the following:
Neural models for machine translation, generation, summarization, simplification
Analysis of the problems and opportunities of neural models for all of these tasks
Methods for incorporating linguistic insights: syntax, alignment, reordering, etc.
Handling resource-limited domains
Utilizing more data: monolingual, multilingual resources
Multi-task learning
Neural translation and generation models for mobile devices
Visualization of sequence-to-sequence models
Beyond sentence-level processing
Beyond maximum-likelihood estimation