Summary of the paper

Title A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
Authors Eleftherios Avramidis, Marta R. Costa-Jussà, Christian Federmann, Josef van Genabith, Maite Melero and Pavel Pecina
Abstract In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual “component” translations. As a first step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can benefit from additional (linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-based annotation format we have developed. We also report on first experiments with the ML4HMT corpus data.
Topics Machine Translation, SpeechToSpeech Translation, Corpus (creation, annotation, etc.), Metadata
Full paper A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
Bibtex @InProceedings{AVRAMIDIS12.444,
  author = {Eleftherios Avramidis and Marta R. Costa-Jussà and Christian Federmann and Josef van Genabith and Maite Melero and Pavel Pecina},
  title = {A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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