Machine translation has been used in the language service industry for a long time. In the early days, due to poor quality, machine translation was often limited to documents where high quality was not required, such as internal business materials that are not publicly released and meeting minutes for archiving. With the rapid development of machine learning and artificial intelligence technology in recent years, the quality bottleneck of machine translation has been broken. Well-known machine translation engines such as Google Translate and Tencent Mr. Translator have emerged in the industry, and some large language service providers have also begun to develop machine translation engines specific to certain subject areas, using their own machine-learning technology and the huge databases they have accumulated.

Ever since iLen was created, the company has been closely watching the technological development of the localization industry. So, when machine translation started gaining attention again in recent years, it began to actively explore and build a machine translation post-editing team. As early as 2018, iLen started to conduct practical application tests of various machine translation engines, and it has built an experienced machine translation post-editing team that can meet the different efficiency and quality requirements that clients need.