GUNARTO Hary    Department   Ritsumeikan Asia Pacific University  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