Papers with large-scale training set

1 papers
Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation (L18-1)

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Challenge: Currently, there is no widely accepted standard for evaluation of machine translation (MT) for Chinese-to-English translation, there are no standard for standardized training sets, development sets, and test sets.
Approach: They propose to use Chinese-to-English machine translation as a benchmark . they build a highly competitive state-of-the-art MT system that outperforms reported results .
Outcome: The proposed system outperforms reported results on NIST OpenMT test sets in almost all papers published in major conferences and journals in computational linguistics and artificial intelligence in the past 11 years.

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