This paper aims to unravel the automatic quality assessment for spoken language translation (SLT). More precisely, we propose several effective estimators based on our estimation of transcription (ASR) quality, translation (MT) quality, or both (combined and joint features using ASR and MT information). Our experiments provide an important opportunity to advance the understanding of the predict...

This issue brings together articles that do not aim to take stock, but rather present reflections and practical experience only from professional translators also academics specialising in teaching and/or researching translation. The rapid development of artificial intelligence is forcing translation courses adapt. approaches put into dialogue the framework interdisciplinary conference held at ...

In this paper, we show that retrieval performance for the ImageCLEF bilingual cross language image retrieval task depends upon, among other factors, the quality of query translation. In this preliminary study, we investigate translation quality and retrieval performance using the Systran machine translation system by comparing a manual assessment of translation adequacy with an automatic score ...