2007b. Regression for Sentence-Level MT Evaluation with Pseudo References

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by Joshua S. Albrecht , Rebecca Hwa
Venue:In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL
Citations:26 - 2 self

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Regression for Sentence-Level MT Evaluation with Pseudo References
18 2007a. A Reexamination of Machine Learning Approaches for Sentence-Level MT Evaluation
2 Towards Heterogeneous Automatic MT Error Analysis
1 Heterogeneous Automatic MT Evaluation Through Non-Parametric Metric Combinations
Applying Referenceless MT Evaluation Metrics to a Multi-Engine MT System
5 Corroborating Text Evaluation Results with Heterogeneous Measures
54 A survey of statistical machine translation – - 2007
SVM Anchored Learning and Model Tampering for Machine Translation Evaluation
Distance), for finding Hard To Learn examples in Machine Learning tasks that use SVMs. These Hard To
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
On the Robustness of Syntactic and Semantic Features for Automatic MT Evaluation
7 Linguistic Features for Automatic Evaluation of Heterogenous MT Systems
Integrating Linguistic Information in Machine Translation Evaluation – - 2008
7 Ranking vs. Regression in Machine Translation Evaluation
1 A Linguistically Motivated MT Evaluation System Based on SVM Regression
Incorporating Linguistic Information in Machine Translation Evaluation – - 2008
9 TrustRank: inducing trust in automatic translations via ranking – - 2010
2 Combining Quality Prediction and System Selection for Improved Automatic Translation Output
12 2005. A Paraphrase-Based Approach to Machine Translation Evaluation – - 2005