Arabic machine translation: A survey of the latest trends and challenges
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 …
Machine Translation (MT) has recently received a great deal of attention from the research …
Arabic natural language processing: Challenges and solutions
A Farghaly, K Shaalan - ACM Transactions on Asian Language …, 2009 - dl.acm.org
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 …
(NLP) applications for Arabic text and speech with serious challenges. The purpose of this …
[HTML][HTML] A panoramic survey of natural language processing in the Arab world
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 …
signed, or written) that has evolved naturally in humans without intentional human planning …
[PDF][PDF] Rule-based approach in Arabic natural language processing
K Shaalan - The International Journal on Information and …, 2010 - m.marefa.org
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 …
processing systems. Systems that use rule-based transformations are based on a core of …
Arabic machine translation: a survey
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 …
finding a quick and efficient translation mechanism has become an urgent necessity, due to …
A survey of intelligent language tutoring systems
M Al Emran, K Shaalan - 2014 International conference on …, 2014 - ieeexplore.ieee.org
Intelligent Languages Tutoring Systems (ILTSs) plays a significant role in evaluating
students' answers through interaction with them. ILTSs implements Natural Language …
students' answers through interaction with them. ILTSs implements Natural Language …
Improving neural machine translation for low resource languages using mixed training: The case of ethiopian languages
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 …
languages, but there is still a problem with low-resource languages as NMT performs well …
A parallel corpora for bi-directional neural machine translation for low resourced ethiopian languages
AL Tonja, MM Woldeyohannis… - … on Information and …, 2021 - ieeexplore.ieee.org
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 …
and Ethiopian Languages, such as Wolaita, Gamo, Gofa, and Dawuro neural machine …
Multilingual neural machine translation for low resourced languages: Ometo-english
MG Yigezu, MM Woldeyohannis… - … on Information and …, 2021 - ieeexplore.ieee.org
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 …
lack of language resources for machine translation. In this paper, we present a new …
[PDF][PDF] Machine translation of noun phrases from Arabic to English using transfer-based approach
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 …
capable of dealing with word order which Arabic exhibits. This poses a significant challenge …