Foundations of statistical natural language processing
Foundations of statistical natural language processing
The String-to-String Correction Problem
Journal of the ACM (JACM)
Toward a scoring function for quality-driven machine translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Automatic evaluation of computer generated text: a progress report on the TextEval project
HLT '94 Proceedings of the workshop on Human Language Technology
Language and Machines: Computers in Translation and Linguistics
Language and Machines: Computers in Translation and Linguistics
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To help developing a localization oriented EBMT system, an automatic machine translation evaluation method is implemented which adopts edit distance, cosine correlation and Dice coefficient as criteria. Experiment shows that the evaluation method distinguishes well between "good" translations and "bad" ones. To prove that the method is consistent with human evaluation, 6 MT systems are scored and compared. Theoretical analysis is made to validate the experimental results. Correlation coefficient and significance tests at 0.01 level are made to ensure the reliability of the results. Linear regression equations are calculated to map the automatic scoring results to human scorings.