Publikation
From human to automatic error classification for machine translation output
Maja Popovic; Aljoscha Burchardt
In: 15th International Conference of the European Association for Machine Translation (EAMT 11). Annual Conference of the European Association for Machine Translation (EAMT-11), 15th, May 30-31, Leuven, Belgium, European Association for Machine Translation, 5/2011.
Zusammenfassung
Future improvement of machine translation systems requires reliable
automatic evaluation and error classification measures to avoid time and money consuming human classification. In this article,
we propose a new method for automatic error classification and
systematically compare its results to those obtained by humans. We
show that the proposed automatic measures correlate well with human
judgments across different error classes as well as across
different translation outputs on four out of five commonly used error classes.