Work

Assessing gender bias in machine translation: a case study with Google Translate

Year: 2019

Type: article

Source: Neural Computing and Applications

DOI: 10.1007/s00521-019-04144-6

Authors: Marcelo O. R. Prates, Pedro H. Avelar, Luís C. Lamb

Institution: Universidade Federal do Rio Grande do Sul

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Reduced inequalities, Gender equality

Open Access status: green

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico

OpenAlex ID: W2891525068

FWCI: 18.51

Cites: 27

Cited by: 499

Related to: 10