Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Fluency, adequacy, or HTER?: exploring different human judgments with a tunable MT metric
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
ATEC: automatic evaluation of machine translation via word choice and word order
Machine Translation
Metrics for MT evaluation: evaluating reordering
Machine Translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
TINE: a metric to assess MT adequacy
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Hi-index | 0.00 |
This paper describes the latest version of the ATEC metric for automatic MT evaluation, with parameters optimized for word choice and word order, the two fundamental features of language that the metric relies on. The former is assessed by matching at various linguistic levels and weighting the informativeness of both matched and unmatched words. The latter is quantified in term of word position and information flow. We also discuss those aspects of language not yet covered by other existing evaluation metrics but carefully considered in the formulation of our metric.