Summary of the paper

Title PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits
Authors Maja Popović and Mihael Arcan
Abstract We present a freely available corpus containing source language texts from different domains along with their automatically generated translations into several distinct morphologically rich languages, their post-edited versions, and error annotations of the performed post-edit operations. We believe that the corpus will be useful for many different applications. The main advantage of the approach used for creation of the corpus is the fusion of post-editing and error classification tasks, which have usually been seen as two independent tasks, although naturally they are not. We also show benefits of coupling automatic and manual error classification which facilitates the complex manual error annotation task as well as the development of automatic error classification tools. In addition, the approach facilitates annotation of language pair related issues.
Topics Machine Translation, SpeechToSpeech Translation, Evaluation Methodologies, Corpus (Creation, Annotation, etc.)
Full paper PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits
Bibtex @InProceedings{POPOVI16.405,
  author = {Maja Popović and Mihael Arcan},
  title = {PE2rr Corpus: Manual Error Annotation of Automatically Pre-annotated MT Post-edits},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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