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TACTICS: Taxonomy-Aware Intelligent Corpus Sampling for Machine Translation
Large-scale machine-translation (MT) systems are typically evaluated on random samples from a corpus whose distributional composition is an artifact of how it was assembled. Such a sample inherits the phenomena the collection happens to contain rather than the full space a system must handle, spanni
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