activity
20232026
most citedTranslation in the Hands of Many:Centering Lay Users in Machine Translation Interactions

6 citations · 16 across the 34 of their papers we have counts for

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Showing 2023Show all

5 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…