Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

Statistical machine translation (SMT) treats the translation of natural language as a machine
learning problem. By examining many samples of human-produced translation, SMT …

Several years of research have shown that machine-learning systems are vulnerable to
adversarial examples, both in theory and in practice. Until now, such attacks have primarily …

I want to thank my advisors Dr. Mitch Marcus and Dr. Martha Palmer for being so generous
with their time and advice during the past four years. I am grateful for the trust they placed in …

Although there is no machine learning technique that fully meets human requirements,
finding a quick and efficient translation mechanism has become an urgent necessity, due to …

Abstract Machine translation (MT) is the automatic translation of the source language to its
target language by a computer system. In the current paper, we propose an approach of …

A large number of machine translation approaches have recently been developed to
facilitate the fluid migration of content across languages. However, the literature suggests …

This paper is about improving the quality of Arabic-English statistical machine translation
(SMT) on dialectal Arabic text using morphological knowledge. We present a light-weight …

Arabic has a very rich morphology characterized by a combination of templatic and
affixational morphemes, complex morphological rules, and a rich feature system. This …

Abstract Language comprehension is the capacity of someone to properly understand the
language to fully communicate the message and details. When dialects are distinct, the …