Investigating syntactic priming cumulative effects in MT-human interaction.

ABSTRACT:

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 between speakers first language and second language.

Methods

In this paper, we shed light on this issue by testing 30 Brazilian Portuguese L2 English speakers in order to investigate whether they tend to describe an image in English with a relation of possession between nouns using a prepositional noun phrase (e.g. the cover of the book is red) or re-use the alternative syntactic structure seen in the output of the GNMT (e.g. the book cover is red), thus manifesting syntactic pri

SUBMITTER: Resende N 

PROVIDER: S-EPMC10869954 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature