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Cattoni, Roldano; Di Gangi, Mattia Antonino; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco,in «COMPUTER SPEECH AND LANGUAGE»,vol. 66,2021
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Bentivogli, Luisa; Cettolo, Mauro; Gaido, Marco; Karakanta, Alina; Martinelli, Alberto; Negri, Matteo; Turchi, Marco,Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),Association for Computational Linguistics,2021, pp. 2873-2887
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Gaido, Marco; Rodríguez, Susana; Negri, Matteo; Bentivogli, Luisa; Turchi, Marco,Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,Association for Computational Linguistics,2021, pp. 1707-1716
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Salesky, Elizabeth; Wiesner, Matthew; Bremerman, Jacob; Cattoni, Roldano; Negri, Matteo; Turchi, Marco; Oard, Douglas W.; Post, Matt,Proceedings of Interspeech 2021,2021, pp. 3655-3659
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Anastasopoulos, Antonios; Bojar, Ondřej; Bremerman, Jacob; Cattoni, Roldano; Elbayad, Maha; Federico, Marcello; Ma, Xutai; Nakamura, Satoshi; Negri, Matteo; Niehues, Jan; Pino, Juan; Salesky, Elizabeth; Stüker, Sebastian; Sudoh, Katsuhito; Turchi, Marco; Waibel, Alexander; Wang, Changhan; Wiesner, Matthew,Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021),Association for Computational Linguistics.,2021, pp. 1-29
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Gaido, Marco; Cettolo, Mauro; Negri, Matteo; Turchi, Marco,Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume,Association for Computational Linguistics,2021, pp. 690-696
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Akhbardeh, Farhad; Arkhangorodsky, Arkady; Biesialska, Magdalena; Bojar, Ondřej; Chatterjee, Rajen; Chaudhary, Vishrav; Costa-jussa, Marta R.; España-Bonet, Cristina; Fan, Angela; Federmann, Christian; Freitag, Markus; Graham, Yvette; Grundkiewicz, Roman; Haddow, Barry; Harter, Leonie; Heafield, Kenneth; Homan, Christopher; Huck, Matthias; Amponsah-Kaakyire, Kwabena; Kasai, Jungo; Khashabi, Daniel; Knight, Kevin; Kocmi, Tom; Koehn, Philipp; Lourie, Nicholas; Monz, Christof; Morishita, Makoto; Nagata, Masaaki; Nagesh, Ajay; Nakazawa, Toshiaki; Negri, Matteo; Pal, Santanu; Auguste Tapo, Allahsera; Turchi, Marco; Vydrin, Valentin; Zampieri, Marcos,Proceedings of the Sixth Conference on Machine Translation,Association for Computational Linguistics,2021, pp. 1-88
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Consoli, Sergio; Negri, Matteo; Tebbifakhr, Amirhossein; Tosetti, Elisa; Turchi, Marco,Proceedings of LOD 2021: The 7th International Conference on Machine Learning, Optimization and Data Science,2021, pp. 308-323
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Gaido, Marco; Negri, Matteo; Cettolo, Mauro; Turchi, Marco,Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021),2021, pp. 55-62
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Papi, Sara; Gaido, Marco; Negri, Matteo; Turchi, Marco,Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021),2021, pp. 84-91
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Karakanta, Alina; Gaido, Marco; Negri, Matteo; Turchi, Marco,Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021),2021, pp. 215-225
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Papi, Sara; Gaido, Marco; Negri, Matteo; Turchi, Marco,Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,2021, pp. 1698-1706
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Martucci, Giuseppe; Cettolo, Mauro; Negri, Matteo; Turchi, Marco,Proceedings of Interspeech 2021,2021, pp. 2282-2286
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Papi, S.; Negri, M.; Turchi, M.,Proceedings of the Eighth Italian Conference on Computational Linguistics,vol. 3033,2021
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Karakanta, A.; Papi, S.; Negri, M.; Turchi, M.,Proceedings of MT Summit 2021,2021
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Lakew, Surafel M.; Negri, Matteo; Turchi, Marco,Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021) at the 18th Biennial Machine Translation Summit,Association for Machine Translation in the Americas,2021, pp. 96-113
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Bertoldi, Nicola; Caroselli, Davide; Amin Farajian, M; Federico, Marcello; Negri, Matteo; Trombetti, Marco; Turchi, Marco,2021
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Consoli, Sergio; Negri, Matteo; Tebbifakhr, Amirhossein; Tosetti, Elisa; Turchi, Marco,Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021,Springer International Publishing,vol. 1525,2021, pp. 189-194
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Savoldi, Beatrice; Bentivogli, Luisa,Gender bias and Machine Translation: On first looking into parallel corpora,Using Corpora in Contrastive and Translation Studies,2021
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Karakanta, Alina; Negri, Matteo; Turchi, Marco,Proceedings of The 12th Language Resources and Evaluation Conference,European Language Resources Association,2020, pp. 3727-3734
Our pick of the week by @DennisFucci: "Speech Representation Analysis Based on Inter- and Intra-Model Similarities" by Yassine El Kheir, Ahmed Ali, and Shammur Absar Chowdhury (ICASSP Workshops 2024)
#speech #speechtech
Findings from https://ieeexplore.ieee.org/document/10669908 show that speech SSL models converge on similar embedding spaces, but via different routes. While overall representations align, individual neurons learn distinct localized concepts.
Interesting read! @fbk_mt
Cosa chiedono davvero gli italiani all’intelligenza artificiale?
FBK in collaborazione con RiTA lancia un’indagine aperta a tutte/i per capire usi reali, abitudini e bisogni.
Bastano 10 minuti per partecipare, scopri di più: https://magazine.fbk.eu/it/news/italiani-e-ia-cosa-chiediamo-veramente-allintelligenza-artificiale/
🚀 Last call for the Model Compression for Machine Translation task at #WMT2025 (co-located with #EMNLP2025)!
Test data out on June 19 ➡️ 2 weeks for evaluation!
Can you shrink an LLM and keep translation quality high?
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression
Our pick of the week by @beomseok_lee_: "ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs" by Pooneh Mousavi, @yingzhi_wang, @mirco_ravanelli, and @CemSubakan (2025)
#SLU #speech #multimodal #LLM
Speech-language models show promise in multimodal tasks—but how well are speech & text actually aligned? 🤔
This paper https://arxiv.org/abs/2505.19937 proposes a new metric to measure layer-wise correlation between the two, with a focus on SLU tasks. 🔍🗣️📄