Abstract
This paper gives a general overview of the main classes of methods for automatic evaluation of Machine Translation (MT) quality, their limitations and their value for professional translators and MT developers. Automated evaluation of MT characterizes performance of MT systems on specific text or a corpus. Automated scores are expected to correlate with certain parameters of MT quality scored by human evaluators, such as adequacy of fluency of translation. Automated evaluation is now part of MT development cycle, but it also contributes to fundamental research on MT and improving MT technology..
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