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.
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
Johanna Monti;
2020-01-01
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
CLICIT2020-55.pdf
accesso aperto
Tipologia:
Documento in Post-print
Licenza:
PUBBLICO - Pubblico con Copyright
Dimensione
145.49 kB
Formato
Adobe PDF
|
145.49 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
