Apps-based Machine Translation on Smart Media Devices - A Review

Abstract

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.

Users’ quality expectations and their correspondence with the realistic features of translation applications

“…Several trends in MT such as the rise of the machines, the convergence and connectivity between diverse translation systems, services and platforms, user experience in dealing with Computer-Assisted Translation (CAT) tools and the urgency to integrate AI features in these CAT tools, the technology shift from web-based to cloud-based deployments, the terminology management and business intelligence, the impact of new media to language services, as well as the revolution of a factory, shows the progress of technology within the translation industry (e.g. Gunarto (2019)).…”

“…However, the nature of output was yet to attain quality translation if not revised by human translators. MT systems are computer-based translation systems that utilise Natural Language Processing (NLP) to enable global communication through computers and smart media devices among individuals using their native language (Gunarto, 2019). "Natural language" means a language that is used by humans in their daily interactions.…”

“…They are the latest trend of MT, incorporating NLP in computers and smart devices. While the quality of MT has improved, issues with translation applications remain in which further improvement on the accuracy and quality of its translation is necessary (Gunarto, 2019). For example, using surveys and interviews, Moorkens, O'Brien, and Vreeke (2016) analyzed a mobile translation application (Kanjingo) to identify users' impressions and evaluate user interface, responsiveness or speed and user-friendliness expectations.…”