Andrea Piergentili

Andrea Piergentili is a PhD student at the University of Trento and Fondazione Bruno Kessler, where he works in the Machine Translation unit.

He obtained his BD and MD in modern languages at the University of L'Aquila.
His research focuses on gender-inclusive language in machine translation (MT).
This involves avoiding discriminatory practices, such as misgendering, stereotypical associations, and exclusionary language, as a way to make MT fair and inclusive of all gender identities.

1. Piergentili, Andrea; Savoldi, Beatrice; Negri, Matteo; Bentivogli, Luisa,
   Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs,
   in «»,
   Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025),
   ,
   vol. ,
   n. ,
   2025
   , pp. -
2. Piergentili, Andrea; Savoldi, Beatrice; Negri, Matteo; Bentivogli, Luisa,
   An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation,
   in «»,
   Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025),
   European Association for Machine Translation,
   vol. I,
   n. ,
   2025
   , pp. 46-
   63
3. Savoldi, Beatrice; Attanasio, Giuseppe; Cupin, Eleonora; Gkovedarou, Eleni; Hackenbuchner, Jani(c(c))a; Lauscher, Anne; Negri, Matteo; Piergentili, Andrea; Thind, Manjinder; Bentivogli, Luisa,
   Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with m{G}e{NTE},
   in «»,
   Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing,
   Association for Computational Linguistics,
   vol. ,
   n. ,
   2025
   , pp. 13709-
   13731
4. Savoldi, Beatrice; Piergentili, Andrea; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
   A Prompt Response to the Demand for Automatic Gender-Neutral Translation,
   in «»,
   Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers),
   Association for Computational Linguistics,
   vol. ,
   n. ,
   2024
   , pp. 256-
   267
5. Gaido, Marco; Papi, Sara; Cettolo, Mauro; Cattoni, Roldano; Piergentili, Andrea; Negri, Matteo; Bentivogli, Luisa,
   Automatic Subtitling and Subtitle Compression: FBK at the IWSLT 2024 Subtitling track,
   in «»,
   Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024),
   ,
   vol. ,
   n. ,
   2024
   , pp. 86-
   96
6. Cettolo, Mauro; Piergentili, Andrea; Papi, Sara; Gaido, Marco; Negri, Matteo; Bentivogli, Luisa,
   MAGNET - MAchines GeNErating Translations: A CALAMITA Challenge,
   in «»,
   Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024),
   ,
   vol. ,
   n. ,
   2024
   , pp. -
7. Piergentili, Andrea; Savoldi, Beatrice; Negri, Matteo; Bentivogli, Luisa,
   Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models,
   in «»,
   Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1),
   European Association for Machine Translation (EAMT),
   vol. ,
   n. ,
   2024
   , pp. 300-
   314
8. Frenda, Simona; Piergentili, Andrea; Savoldi, Beatrice; Madeddu, Marco; Rosola, Martina; Casola, Silvia; Ferrando, Chiara; Patti, Viviana; Negri, Matteo; Bentivogli, Luisa,
   GFG - Gender-Fair Generation: A CALAMITA Challenge,
   in «»,
   Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024),
   ,
   vol. ,
   n. ,
   2024
   , pp. -
9. Piergentili, Andrea; Fucci, Dennis; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo,
   Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges,
   Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023),
   European Association for Machine Translation,
   2023
   , pp. 71-
   83
10. Piergentili, Andrea; Savoldi, Beatrice; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
    Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the {G}e{NTE} Corpus,
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
    Association for Computational Linguistics,
    2023
    , pp. 14124-
    14140