Smart and/or diverse: the paradoxes of machine processed language
Year: 2021
Type: article
Abstract: Machine language processing tools affect the global online landscape of languages in complex ways. Free NMT tools, such as Google Translate or DeepL, and smart assistants, such as Alexa or Siri, enable people from all over the world to access and produce content in many languages, furthering what I would call interface multilingualism in terms of quantity, visibility and accessibility. But upon closer examination this comes at a cost for linguistic diversity, as these tools tend to streamline and standardize expression, are based on a limited number of corpora and value user engagement metrics over the quality of content.
Source: Hybrid
DOI: 10.4000/hybrid.659
Author: Claire Larsonneur
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4210692906