A case study of natural gender phenomena in translation: A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish

Argentina Anna Rescigno; Eva Vanmassenhove; Johanna Monti; Andy Way

A case study of natural gender phenomena in translation: A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish

Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti, Andy Way

Cognitive Science & AI

Research output: Contribution to journal › Conference article › Other research output

Abstract

This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. The evaluation is carried out for English→Spanish, English→Italian and English→French.

Original language	English
Pages (from-to)	62-90
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	2769
Publication status	Published - 2020
Event	7th Italian Conference on Computational Linguistics, CLiC-it 2020 - Bologna, Italy Duration: 1 Mar 2021 → 3 Mar 2021

Keywords

Gender
Machine Translation

Access to Document

http://ceur-ws.org/Vol-2769/paper_26.pdfLicence: Unspecified

Cite this

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title = "A case study of natural gender phenomena in translation: A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish",

abstract = "This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. The evaluation is carried out for English→Spanish, English→Italian and English→French.",

keywords = "Gender, Machine Translation",

author = "Rescigno, {Argentina Anna} and Eva Vanmassenhove and Johanna Monti and Andy Way",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors.; 7th Italian Conference on Computational Linguistics, CLiC-it 2020 ; Conference date: 01-03-2021 Through 03-03-2021",

year = "2020",

language = "English",

volume = "2769",

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publisher = "RWTH Aachen, Informatik 5",

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A case study of natural gender phenomena in translation : A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish. / Rescigno, Argentina Anna; Vanmassenhove, Eva; Monti, Johanna; Way, Andy.

In: CEUR Workshop Proceedings, Vol. 2769, 2020, p. 62-90.

Research output: Contribution to journal › Conference article › Other research output

TY - JOUR

T1 - A case study of natural gender phenomena in translation

T2 - 7th Italian Conference on Computational Linguistics, CLiC-it 2020

AU - Rescigno, Argentina Anna

AU - Vanmassenhove, Eva

AU - Monti, Johanna

AU - Way, Andy

PY - 2020

Y1 - 2020

N2 - This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. The evaluation is carried out for English→Spanish, English→Italian and English→French.

AB - This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. The evaluation is carried out for English→Spanish, English→Italian and English→French.

KW - Gender

KW - Machine Translation

UR - http://www.scopus.com/inward/record.url?scp=85097911368&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85097911368

VL - 2769

SP - 62

EP - 90

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

Y2 - 1 March 2021 through 3 March 2021

ER -

A case study of natural gender phenomena in translation: A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish

Abstract

Keywords

Access to Document

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