Publication
What can we learn about the selection mechanism for post-editing?
Maja Popovic; Eleftherios Avramidis; Aljoscha Burchardt; David Vilar; Hans Uszkoreit
In: Proceedings of Workshop on Translation Post-Editing Technology and Practice. Machine Translation Summit (MT Summit-13), 13th, September 19-23, Xiamen, China, Proceedings of MT Summit XIV, 2013.
Abstract
Post-editing is an increasingly common form of human-machine
cooperation for translation. One possible support for the post-editing task is offering
several machine outputs to a human translator from which then can choose the
most suitable one. This paper investigates the selection process for
such method to get a better insight into it so that it
can be optimally automatised in future work.
Experiments show that only about 70% of the selected sentences are
the best ranked ones, and that selection mechanism is tightly related
to edit distance. Furthermore, five types of performed edit operations are analysed:
correcting word form, reordering, adding missing words, deleting extra words and correcting lexical choice.