Search Results for author: Catarina Cruz Silva

Found 1 papers, 0 papers with code

Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods

no code implementations WS 2018 Catarina Cruz Silva, Chao-Hong Liu, Alberto Poncelas, Andy Way

Data selection is a process used in selecting a subset of parallel data for the training of machine translation (MT) systems, so that 1) resources for training might be reduced, 2) trained models could perform better than those trained with the whole corpus, and/or 3) trained models are more tailored to specific domains.

Machine Translation NMT +1

Cannot find the paper you are looking for? You can Submit a new open access paper.