Machine translation and its effective application
Chung-ling Shih · 2017
Although machine translation (MT) enhances web-based communication by providing automated translation, the quality of MT output is far from satisfactory to users because human languages show high semantic and syntactic complexity. Google Translate is a well-known online statistical MT (SMT) in Chinese communities; it supports Chinese-English translation for free. To reduce time and labour for post-editing multilingual translations created by the SMT engine, a controlled language can be used to pre-edit and author the source text. The MT paradigm features a significant switch to a multifaceted task that blends pre-/post editing and meta-editing. Pre-editing is the process of preparing a source text for automated translation by an MT system. Post-editing requires less time than pre-editing, so it has become a dominant approach in the translation industry. The chapter concludes that a successful deployment of the collaborative mechanism would lead to effective MT application and the enhancement of MT output quality for future web users.