The Framework for Machine Translation Evaluation in ISLE is an attempt to organize the various methods that are used to evaluate a machine translation system, and to relate them to the purpose and context of the system. Therefore, FEMTI is made of two interrelated classifications or taxonomies. The first classification enables evaluators to define an intended context of use for the MT system to evaluate. Each feature is linked to relevant quality characteristics and metrics, defined in the the second classification.
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