Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/236> ?p ?o. }
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- 236 creator andrei-popescu-belis.
- 236 creator maghi-king.
- 236 creator paula-estrella.
- 236 type InProceedings.
- 236 label "Improving Contextual Quality Models for MT Evaluation Based on Evaluators Feedback".
- 236 sameAs 236.
- 236 abstract "The Framework for the Evaluation for Machine Translation (FEMTI) contains guidelines for building a quality model that is used to evaluate MT systems in relation to the purpose and intended context of use of the systems. Contextual quality models can thus be constructed, but entering into FEMTI the knowledge required for this operation is a complex task. An experiment has been set up in order to transfer knowledge from MT evaluation experts into the FEMTI guidelines, by polling experts about the evaluation methods they would use in a particular context, then inferring from the results generic relations between characteristics of the context of use and quality characteristics. The results of this hands-on exercise, carried out as part of a conference tutorial, have served to refine FEMTI s generic contextual quality model and to obtain feedback on the FEMTI guidelines in general.".
- 236 hasAuthorList authorList.
- 236 hasTopic Linguistics.
- 236 isPartOf proceedings.
- 236 keyword "Evaluation methodologies".
- 236 keyword "Machine Translation, SpeechToSpeech Translation".
- 236 keyword "Usability, user satisfaction".
- 236 title "Improving Contextual Quality Models for MT Evaluation Based on Evaluators Feedback".