  We report the result of the first edition of the WMT shared task on
Translation Suggestion (TS). The task aims to provide alternatives for specific
words or phrases given the entire documents generated by machine translation
(MT). It consists two sub-tasks, namely, the naive translation suggestion and
translation suggestion with hints. The main difference is that some hints are
provided in sub-task two, therefore, it is easier for the model to generate
more accurate suggestions. For sub-task one, we provide the corpus for the
language pairs English-German and English-Chinese. And only English-Chinese
corpus is provided for the sub-task two.
  We received 92 submissions from 5 participating teams in sub-task one and 6
submissions for the sub-task 2, most of them covering all of the translation
directions. We used the automatic metric BLEU for evaluating the performance of
each submission.
