Web: http://arxiv.org/abs/2206.10919

June 23, 2022, 1:12 a.m. | Yves Bestgen

cs.CL updates on arXiv.org arxiv.org

A recent study has shown that, compared to human translations, neural machine
translations contain more strongly-associated formulaic sequences made of
relatively high-frequency words, but far less strongly-associated formulaic
sequences made of relatively rare words. These results were obtained on the
basis of translations of quality newspaper articles in which human translations
can be thought to be not very literal. The present study attempts to replicate
this research using a parliamentary corpus. The text were translated from
French to English by …

arxiv human human and machine insight language machine machine translation translation

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