Investigating syntactic priming cumulative effects in MT-human interaction [version 2; peer review: 2 approved]

Background A question that deserves to be explored is whether the interaction between English language learners and the popular Google neural machine translation (GNMT) system could result in learning and increased production of a challenging syntactic structure in English that differs in word order...

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Bibliographic Details
Main Author: Natália Resende
Format: Article
Language:English
Published: F1000 Research Ltd 2023-12-01
Series:Open Research Europe
Subjects:
Online Access:https://open-research-europe.ec.europa.eu/articles/1-93/v2