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What is Missing in User-Centric MT?
November 2009
Jennifer DeCamp, The MITRE Corporation
ABSTRACT
This paper describes some of the kinds of predictable errors in Machine Translation (MT). It then discusses means of alerting end-users of MT to the possible presence of such errors, including by providing training and/or by providing automated MT ratings, MT color coding and/or symbols, and footnotes and annotation. It also discusses the need for some kind of reliability measure and/or information to the MT consumer, and the likelihood of the MT user being open to using this kind of input. Some of the suggestions made for user-centric MT are also applicable to translator-centric MT.
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