Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Orange: from experimental machine learning to interactive data mining
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Learning accurate, compact, and interpretable tree annotation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Confidence estimation for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Word-level confidence estimation for machine translation using phrase-based translation models
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Further meta-evaluation of machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Findings of the 2009 workshop on statistical machine translation
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
An extensible toolkit for computational semantics
IWCS-8 '09 Proceedings of the Eighth International Conference on Computational Semantics
Machine translation evaluation versus quality estimation
Machine Translation
The feature selection problem: traditional methods and a new algorithm
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Findings of the 2011 Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Quality estimation for machine translation output using linguistic analysis and decoding features
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Match without a referee: evaluating MT adequacy without reference translations
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Sentence-level ranking with quality estimation
Machine Translation
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We present a pilot study on an evaluation method which is able to rank translation outputs with no reference translation, given only their source sentence. The system employs a statistical classifier trained upon existing human rankings, using several features derived from analysis of both the source and the target sentences. Development experiments on one language pair showed that the method has considerably good correlation with human ranking when using features obtained from a PCFG parser.