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20162026
most citedGender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges

11 citations · 33 across the 48 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 1 cited

Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES

Beatrice Savoldi, Marco Gaido, Matteo Negri +1

As part of the WMT-2023 "Test suites" shared task, in this paper we summarize the results of two test suites evaluations: MuST-SHE-WMT23 and INES. By focusing on the en-de and de-e…

cs.CL2023

Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection

Dennis Fucci, Marco Gaido, Sara Papi +3

When translating words referring to the speaker, speech translation (ST) systems should not resort to default masculine generics nor rely on potentially misleading vocal traits. Ra…

cs.CL2023★ 1 cited

How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation

Marco Gaido, Dennis Fucci, Matteo Negri +1

When translating from notional gender languages (e.g., English) into grammatical gender languages (e.g., Italian), the generated translation requires explicit gender assignments fo…

cs.CL2023★ 1 cited

No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation

Dennis Fucci, Marco Gaido, Matteo Negri +2

Automatic speech recognition (ASR) systems are known to be sensitive to the sociolinguistic variability of speech data, in which gender plays a crucial role. This can result in dis…

cs.CL2023

Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus

Andrea Piergentili, Beatrice Savoldi, Dennis Fucci +2

Gender inequality is embedded in our communication practices and perpetuated in translation technologies. This becomes particularly apparent when translating into grammatical gende…

cs.CL2023

Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems

Silvia Alma Piazzolla, Beatrice Savoldi, Luisa Bentivogli

Machine Translation (MT) continues to make significant strides in quality and is increasingly adopted on a larger scale. Consequently, analyses have been redirected to more nuanced…

cs.CL2023★ 11 cited

Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges

Andrea Piergentili, Dennis Fucci, Beatrice Savoldi +2

Gender inclusivity in language technologies has become a prominent research topic. In this study, we explore gender-neutral translation (GNT) as a form of gender inclusivity and a…