Papers by Andrea Piergentili
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus (2023.emnlp-main)
Copied to clipboard
| Challenge: | Societal gender asymmetries and inequalities are perpetuated through language . MT often defaults to masculine representations by making undue binary gender assumptions . |
| Approach: | They propose a benchmark and automated evaluation methods to assess gender-neutral translation from English to Italian. |
| Outcome: | The proposed method is based on a survey on gender-neutral translation. |
Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE (2025.emnlp-main)
Copied to clipboard
Beatrice Savoldi, Giuseppe Attanasio, Eleonora Cupin, Eleni Gkovedarou, Janiça Hackenbuchner, Anne Lauscher, Matteo Negri, Andrea Piergentili, Manjinder Thind, Luisa Bentivogli
| Challenge: | Genderneutral translation (GNT) is a linguistic strategy towards fairer communication across languages. |
| Approach: | They propose to use a multilingual evaluation resource to evaluate inclusive translation with state-of-the-art instruction-following language models (LMs) |
| Outcome: | The proposed model can recognize when neutrality is appropriate, but cannot consistently produce neutral translations, limiting their usability. |
A Prompt Response to the Demand for Automatic Gender-Neutral Translation (2024.eacl-short)
Copied to clipboard
| Challenge: | Advancements in machine translation (MT) are hindered by the lack of dedicated parallel data, which are necessary to adapt MT systems to satisfy neutral constraints. |
| Approach: | They propose to use GPT-4 to generate GNTs that avoid bias and undue binary assumptions by comparing MT with the popular GPT-3 model. |
| Outcome: | The proposed model outperforms the existing model and provides valuable insights into the potential and challenges associated with prompting for neutrality. |