GUNARTO Hary
   Department     College of International Management
   Position   Professor
Language English
Publication Date 2019/01
Type Research paper (Academic/Professional Journal)
Peer Review Peer reviewed
Title Apps-based Machine Translation on Smart Media Devices - A Review
Contribution Type Single Work
Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems), Gadjahmada University
Volume, Issue, Page 13(1),pp.95-104
Details Machine Translation Systems are part of Natural Language Processing (NLP) that makes communication possible among people using their own native language through computer and smart media devices. This paper describes recent progress in language dictionaries and machine translation commonly used for communications and social interaction among people or Internet users worldwide who speak different languages. Problems of accuracy and quality related to computer translation systems encountered in web & Apps-based translation are described and discussed. Possible programming solutions to the problems are also put forward to create software tools that are able to analyze and synthesize language intelligently based on semantic representation of sentences and phrases. Challenges and problems on Apps-based machine translation on smart devices towards AI, NLP, smart learning and understanding still remain until now, and need to be addressed and solved through collaboration between computational linguists and computer scientists.
DOI 10.22146/ijccs.43066
ISSN 2460-7258