Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation (MT) has recently received a great deal of attention from the research …

The Arabic language presents researchers and developers of natural language processing
(NLP) applications for Arabic text and speech with serious challenges. The purpose of this …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

The rule-based approach has successfully been used in developing many natural language
processing systems. Systems that use rule-based transformations are based on a core of …

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 …

Intelligent Languages Tutoring Systems (ILTSs) plays a significant role in evaluating
students' answers through interaction with them. ILTSs implements Natural Language …

Abstract Neural Machine Translation (NMT) has shown improvement for high-resource
languages, but there is still a problem with low-resource languages as NMT performs well …

In this paper, we described an effort towards the development of parallel corpora for English
and Ethiopian Languages, such as Wolaita, Gamo, Gofa, and Dawuro neural machine …

Unlike technologically favored languages, under-resourced languages highly suffer from the
lack of language resources for machine translation. In this paper, we present a new …

Problem statement: Any Arabic to English Machine Translation (MT) system should be
capable of dealing with word order which Arabic exhibits. This poses a significant challenge …