Amalia Agung Septarina, Faisal Rahutomo, M. Sarosa
Nowadays, machine translation has an important role in general communication. The need for machine translation system is higher in this era, resolving culture and nation boundary. Finding appropriate and optimal translation is not an easy task in language processing. Several machine translation systems already exist, but the quality of the translation is needed to be improved further. This paper discusses machine translation researches that involve Indonesian language to the other languages by systematic literature review. This paper exposes different approaches and tools for machine translation. The approaches also use various evaluation methods to measure performance. Moreover, this paper proposes several future works to improve the machine translation quality of Indonesian to other languages. The review results show that the attention-based approach is being increasingly used to improve the performance of neural machine translation. The translation performance quality depends on the number of the corpus, well-behaved aligned corpus, and the technique used. © 2019 KIPMI
Electrical Engineering Department, Politeknik Negeri Malang, Malang, 65141, Indonesia