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We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machine translation evaluation shared task (MetricsMATR 2010). The metrics are based on normalized compression distance (NCD), a general information theoretic measure of string similarity, and evaluated against human judgments from the WMT08 shared task. The(More)
This paper evaluates a new automatic MT evaluation metric, Normalized Compression Distance (NCD), which is a general tool for measuring similarities between binary strings. We provide system-level correlations and sentence-level consistencies to human judgements and comparison to other automatic measures with the WMT’08 dataset. The results show that the(More)
This paper introduces mNCD, a method for automatic evaluation of machine translations. The measure is based on normalized compression distance (NCD), a general information theoretic measure of string similarity, and flexible word matching provided by stemming and synonyms. The mNCD measure outperforms NCD in system-level correlation to human judgments in(More)
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