I recently attended the Conference of the European Association for Machine Translation, EAMT 2018. Before this conference I had only attended ICLR, which is an AI conference focused on representation learning, irrespective of the specific task or paradigm (RL, GANs, NLP, images, etc). On the other hand EAMT is purely machine translation-focused.
This year EAMT took place over three days. The first day was focused on research (mostly academia), the second day on products and projects (industry) and the third one on translators (translators track).
I recently attended ICLR 2018, as I had a workshop article accepted. Please, consider taking a look: A differentiable BLEU loss. Analysis and first results.
This was the first time I attended a conference, so I tried to learn as much as I could. These are some random notes about how the conference works and what people talked about.
How the conference works ICLR is an artificial intelligence conference that uses a double-blind peer review process via OpenReview.