Luisa Bentivogli

Machine Translation for Machines: the Sentiment Classification Use Case

2019 · arXiv (Cornell University)

We propose a neural machine translation (NMT) approach that, instead of pursuing adequacy and fluency ("human-oriented" quality criteria), aims to generate translations that are best suited as input to a natural language processing component designed …

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

2021

Luisa Bentivogli, Mauro Cettolo, Marco Gaido, Alina Karakanta, Alberto Martinelli, Matteo Negri, Marco Turchi. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language …

Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE

2025

Beatrice Savoldi, Giuseppe Attanasio, Eleonora Cupin, Eleni Gkovedarou, Janiça Hackenbuchner, Anne Lauscher, Matteo Negri, Andrea Piergentili, Manjinder Thind, Luisa Bentivogli. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

The IWSLT 2015 Evaluation Campaign

2015 · Repository KITopen (Karlsruhe Institute of Technology)

The IWSLT 2016 Evaluation Campaign featured two tasks: the translation of talks and the translation of video conference conversations. While the first task extends previously offered tasks with talks from a different source, the second …