most citedDistributed Silhouette Algorithm: Evaluating Clustering on Big Data

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20231 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.CL20231 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.CL20231 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.CL20232 cited

Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023

Sara Papi, Marco Gaido, Matteo Negri

This paper describes the FBK's participation in the Simultaneous Translation and Automatic Subtitling tracks of the IWSLT 2023 Evaluation Campaign. Our submission focused on the us…

cs.DC20234 cited

Distributed Silhouette Algorithm: Evaluating Clustering on Big Data

Marco Gaido

In the big data era, the key feature that each algorithm needs to have is the possibility of efficiently running in parallel in a distributed environment. The popular Silhouette me…