Research Explorer

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Project

Automatische detectie van (mogelijke) brontekstfactoren die in automatische vertaling tot gender bias kunnen leiden

Outputs & impact

Publicaties & datasets ( 14 )

Mind the inclusivity gap : multilingual gender-neutral translation evaluation with mGeNTE

Beatrice SavoldiGiuseppe AttanasioEleonora CupinEleni GkovedarouJanica HackenbuchnerAnne LauscherMatteo NegriAndrea PiergentiliManjinder ThindLuisa Bentivogli

Glitter : a multi-sentence, multi-reference benchmark for gender-fair German machine translation

A. PranavJanica HackenbuchnerGiuseppe AttanasioManuel LardelliAnne Lauscher

GENDEROUS : machine translation and cross-linguistic evaluation of a gender-ambiguous dataset

Janica HackenbuchnerEleni GkovedarouJoke Daems

Gender bias and the role of context in human perception and machine translation

Janica HackenbuchnerJoke DaemsArda Tezcan

Can we interpret gender? Using contrastive explanations to understand gender choices by translation systems

Janica HackenbuchnerJoke DaemsArda Tezcan

Mind the inclusivity gap : multilingual gender-neutral translation evaluation with mGeNTE

Beatrice SavoldiGiuseppe AttanasioEleonora CupinEleni GkovedarouJanica HackenbuchnerAnne LauscherMatteo NegriAndrea PiergentiliManjinder ThindLuisa Bentivogli

Glitter : a multi-sentence, multi-reference benchmark for gender-fair German machine translation

A. PranavJanica HackenbuchnerGiuseppe AttanasioManuel LardelliAnne Lauscher

GENDEROUS : machine translation and cross-linguistic evaluation of a gender-ambiguous dataset

Janica HackenbuchnerEleni GkovedarouJoke Daems

Gender bias and the role of context in human perception and machine translation

Janica HackenbuchnerJoke DaemsArda Tezcan

A2 Artikel in een tijdschrift in COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL

Automatic detection of (potential) factors in the source text leading to gender bias in machine translation

Janica HackenbuchnerJoke DaemsArda Tezcan

You shall know a word’s gender by the company it keeps : comparing the role of context in human gender assumptions with MT

Janica HackenbuchnerAaron MaladryJoke DaemsArda Tezcan

Systematic, stereotypical or an educated guess? Gender inference by humans and machine translation systems of words in and out of context

Janica HackenbuchnerJoke DaemsArda Tezcan

Automatic detection of (potential) factors in the source text leading to gender bias in machine translation

Janica HackenbuchnerArda TezcanJoke Daems

You shall know a word’s gender by the company it keeps : comparing the role of context in human gender assumptions with MT

Janica HackenbuchnerArda TezcanAaron MaladryJoke Daems

Activiteiten ( 0 )

Resultaten

Impactnarratieven ( 0 )

Octrooien ( 0 )