  Over the last several years, the field of natural language processing has
been propelled forward by an explosion in the use of deep learning models. This
survey provides a brief introduction to the field and a quick overview of deep
learning architectures and methods. It then sifts through the plethora of
recent studies and summarizes a large assortment of relevant contributions.
Analyzed research areas include several core linguistic processing issues in
addition to a number of applications of computational linguistics. A discussion
of the current state of the art is then provided along with recommendations for
future research in the field.
