Recent years have witnessed rapid advancements in machine translation, but the state-of-
the-art machine translation system still can not satisfy the high requirements in some
rigorous translation scenarios. Computer-aided translation (CAT) provides a promising
solution to yield a high-quality translation with a guarantee. Unfortunately, due to the lack of
popular benchmarks, the research on CAT is not well developed compared with machine
translation. In this year, we hold a new shared task called Word-level AutoCompletion …

This paper presents the overview of the second Word-Level autocompletion (WLAC) shared
task for computer-aided translation, which aims to automatically complete a target word
given a translation context including a human typed character sequence. We largely adhere
to the settings of the previous round of the shared task, but with two main differences: 1) The
typed character sequence is obtained from the typing process of human translators to
demonstrate system performance under real-world scenarios when preparing some type of …