25 Nov 2019

In our lab meeting tomorrow, Hassan will give a depth presentation on Lexical Constraints in NMT. In attendance will be his Ph.D. Examining Committee members, Dr. Anoop Sarkar, Dr. Angel Chang, and Dr. Fred Popowich.

Here is the title and abstract:

Imposing Bilingual Lexical Constraints to Neural Machine Translation

Abstract: *Neural Machine Translation (NMT) models have reached astonishing results in recent years, and yet infrequent words remain a problem to them as well as out-of-domain terminologies. Bilingual lexical resources can be used to guide the model through difficulties when it faces infrequent and out-of-domain, vocabulary words. Hence, imposing bilingual lexical preferences (constraints) into NMT models have received rising attention in the past few years.

In this report, we summarize different threads of work on Constrained NMT including approaches that modify the input or output of the model (pre-processing and post-processing) without changing the model itself, as well as, the approaches that change the inference algorithms and target vocabulary set to satisfy the Bilingual Lexical Constraints.*

Tuesday, November 26th, 10:30 a.m. TASC1 9408.   Title: Imposing Bilingual Lexical Constraints to Neural Machine Translation