SEDAR: a Large Scale French-English Financial Domain Parallel Corpus

TitleSEDAR: a Large Scale French-English Financial Domain Parallel Corpus
Publication TypeConference Paper
Year of Publication2020
AuthorsGhaddar, A., and P. Langlais
Conference NameProceedings of The 12th Language Resources and Evaluation Conference
PublisherEuropean Language Resources Association
Place PublishedMarseille, France
ISBN Number979-10-95546-34-4
AbstractThis paper describes the acquisition, preprocessing and characteristics of SEDAR, a large scale English-French parallel corpus for the financial domain. Our extensive experiments on machine translation show that SEDAR is essential to obtain good performance on finance. We observe a large gain in the performance of machine translation systems trained on SEDAR when tested on finance, which makes SEDAR suitable to study domain adaptation for neural machine translation. The first release of the corpus comprises 8.6 million high quality sentence pairs that are publicly available for research at