Principles of Context-Based Machine Translation Evaluation
Machine Translation
Interactive word alignment for language engineering
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Paraphrasing with bilingual parallel corpora
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
(Meta-) evaluation of machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Morpho-syntactic information for automatic error analysis of statistical machine translation output
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
METEOR-NEXT and the METEOR paraphrase tables: improved evaluation support for five target languages
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Pre- and postprocessing for statistical machine translation into Germanic languages
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Correction detection and error type selection as an ESL educational aid
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A graphical interface for MT evaluation and error analysis
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Automatic and human evaluation on english-croatian legislative test set
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Statistical machine translation enhancements through linguistic levels: A survey
ACM Computing Surveys (CSUR)
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We present Blast, an open source tool for error analysis of machine translation (MT) output. We believe that error analysis, i.e., to identify and classify MT errors, should be an integral part of MT development, since it gives a qualitative view, which is not obtained by standard evaluation methods. Blast can aid MT researchers and users in this process, by providing an easy-to-use graphical user interface. It is designed to be flexible, and can be used with any MT system, language pair, and error typology. The annotation task can be aided by highlighting similarities with a reference translation.