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NIST Open Machine Translation 2008 Evaluation: Stanford University’s System Description
NIST Open Machine Translation 2008 Evaluation Stanford University’s System Description
2015/6/12
This document describes Stanford University’s first entry into a NIST MT evaluation. Our entry to the 2008 evaluation mainly focused on establishing a competent baseline with a phrase-based system sim...
Textual Entailment Features for Machine Translation Evaluation
Textual Entailment Features Machine Translation Evaluation
2015/6/12
We present two regression models for the prediction of pairwise preference judgments among MT hypotheses. Both models are based on feature sets that are motivated by textual entailment and incorporate...
Robust Machine Translation Evaluation with Entailment Features
Machine Translation Evaluation Entailment Features
2015/6/12
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We believe that the main rea...
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation
Stanford University Arabic-to-English Statistical Machine Translation System the 2009 NIST MT Open
2015/6/12
This document describes Stanford University’s first entry into a NIST Arabic-English MT evaluation. We describe two main improvements over a previous Chinese-English submission (Galley et al., 2008): ...