Gutenberg Goes Neural: Comparing Features of Dutch Human Translations with Raw Neural Machine Translation Outputs in a Corpus of English Literary Classics

Due to the growing success of neural machine translation (NMT), many have started to question its applicability within the field of literary translation. In order to grasp the possibilities of NMT, we studied the output of the neural machine system of Google Translate (GNMT) and DeepL when applied t...

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Autori principali:	Rebecca Webster, Margot Fonteyne, Arda Tezcan, Lieve Macken, Joke Daems
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2020-08-01
Serie:	Informatics
Soggetti:	literary machine translation neural machine translation quality assessment lexical richness cohesion syntactic divergence
Accesso online:	https://www.mdpi.com/2227-9709/7/3/32
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