Summary of the paper

Title An Experimental Methodology for an End-to-End Evaluation in Speech-to-Speech Translation
Authors Olivier Hamon and Djamel Mostefa
Abstract This paper describes the evaluation methodology used to evaluate the TC-STAR speech-to-speech translation (SST) system and the results from the third year of the project. It follows the results presented in Hamon (2007), dealing with the first end-to-end evaluation of the project. In this paper, we try to experiment with the methodology and the protocol during a second end-to-end evaluation, by comparing outputs from the TC-STAR system with interpreters from the European parliament. For this purpose, we test different criteria of evaluation and type of questions within a comprehension test. The results show that interpreters do not translate all the information (as opposed to the automatic system), but the quality of SST is still far from that of human translation. The experimental comprehension test used provides new information to study the quality of automatic systems, but without settling the issue of which protocol is the best. This depends on what the evaluator wants to know about the SST: either to have a subjective end-user evaluation or a more objective one.
Language Multiple languages
Topics Evaluation methodologies, Machine Translation, SpeechToSpeech Translation
Full paper An Experimental Methodology for an End-to-End Evaluation in Speech-to-Speech Translation
Slides -
Bibtex @InProceedings{HAMON08.900,
  author = {Olivier Hamon and Djamel Mostefa},
  title = {An Experimental Methodology for an End-to-End Evaluation in Speech-to-Speech Translation},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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