Machine Learning
Automated scoring using a hybrid feature identification technique
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Confidence estimation for NLP applications
ACM Transactions on Speech and Language Processing (TSLP)
Confidence estimation for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Predicting the readability of short web summaries
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Machine translation evaluation versus quality estimation
Machine Translation
TrustRank: inducing trust in automatic translations via ranking
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Goodness: a method for measuring machine translation confidence
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Scikit-learn: Machine Learning in Python
The Journal of Machine Learning Research
Quality estimation for machine translation: some lessons learned
Machine Translation
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This paper describes our work with the data distributed for the WMT'12 Confidence Estimation shared task. Our contribution is twofold: i) we first present an analysis of the data which highlights the difficulty of the task and motivates our approach; ii) we show that using non-linear models, namely random forests, with a simple and limited feature set, succeeds in modeling the complex decisions required to assess translation quality and achieves results that are on a par with the second best results of the shared task.