Leveraging Online User Feedback to Improve Statistical Machine Translation
نویسندگان
چکیده
منابع مشابه
Leveraging Online User Feedback to Improve Statistical Machine Translation
In this article we present a three-step methodology for dynamically improving a statistical machine translation (SMT) system by incorporating human feedback in the form of free edits on the system translations. We target at feedback provided by casual users, which is typically error-prone. Thus, we first propose a filtering step to automatically identify the better user-edited translations and ...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2015
ISSN: 1076-9757
DOI: 10.1613/jair.4716