The Key Challenges for Arabic Machine Translation

Date
2018-04-14
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer International Publishing
Abstract
Translating the Arabic Language into other languages engenders multi ple linguistic problems, as no two languages can match, either in the meaning given to the conforming symbols or in the ways in which such symbols are arranged in phrases and sentences. Lexical, syntactic and semantic problems arise when translating the meaning of Arabic words into English. Machine translation (MT) into morphologically rich languages (MRL) poses many challenges, from handling a complex and rich vocabulary, to designing adequate MT metrics that take morphology into consideration. We present and highlight the key challenges for Arabic language translation into English.
Description
Keywords
Engineering, Computational Intelligence, Language Translation and Linguistics, Computational Linguistics, Big Data
Citation
Alkhatib, M. and Shaalan, K. (2018) “The Key Challenges for Arabic Machine Translation,” in Intelligent Natural Language Processing: Trends and Applications.
URI
https://bspace.buid.ac.ae/handle/1234/3062
Collections
Dr Manar Alkhatib