Here's What Machine Translation Researchers Are Geeking Out On Slator

Cornell University's automated online distribution system for research papers, Arxiv.org, is a prolific source for anyone interested in staying up to date on progress in neural machine translation (NMT). It has been almost a year from when we first wrote about the dramatic acceleration of academic NMT research as reflected on the number of papers submitted to Arxiv, and the upward trend continues. To understand where current research is heading, we reviewed NMT-related papers within the research repository for the first six weeks of 2018 as well as the last couple of months of the previous year. From November 1, 2017 to February 14, 2018, there were 58 relevant papers. Twelve of those papers are not directly about NMT specifically, but were focused on either machine learning via neural networks in general or adjacent technology such as natural language processing.