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

LREC 2020 • Abbas Ghaddar • Phillippe Langlais

This 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... (read more)

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