A review on Indonesian machine translation

Abstract

Abstract Nowadays, machine translation has important role in general communication. The need for machine translation system is higher in this era, resolving culture and nation boundary. Finding correct and optimal translation is not an easy task in language processing. Several machine translation system already exists, but the quality of the translation 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 the performance. Moreover, this paper proposes several future works to improve the machine translation quality of Indonesian to the 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.