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de Souza, Jose' G. C.; Zamani, Hamed; Negri, Matteo; Turchi, Marco; Falavigna, Giuseppe Daniele,Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,Association for Computational Linguistics,2015, pp. 714-724
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Chatterjee, Rajen; Marion, Weller; Negri, Matteo; Turchi, Marco,Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers),Association for Computational Linguistics,2015, pp. 156-161
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Camargo de Souza, José Guilherme; Negri, Matteo; Ricci, Elisa; Turchi, Marco,Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),Association for Computational Linguistics,2015, pp. 219-228
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Zamani, Hamed; de Souza, José G. C.; Negri, Matteo; Turchi, Marco; Falavigna, Giuseppe Daniele,Reference-free and Confidence-independent Binary Quality Estimation for Automatic Speech Recognition,Proceedings of the Second Italian Conference on Computational Linguistics (CLIC-it),aAccademia University Press,2015, pp. 280-285
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Hardmeier, Christian; Nakov, Preslav; Stymne, Sara; Tiedemann, Jörg; Versley, Yannick; Cettolo, Mauro,Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT),The Association for Computational Linguistics,2015, pp. 1-16
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Cettolo, Mauro; Bertoldi, Nicola; Federico, Marcello,Atti della conferenza AMTA 2014 - Association for Machine Translation in the Americas (AMTA-2014),2014, pp. 166-179
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Mathur, Prashant; Cettolo, Mauro; Federico, Marcello; de Souza, J. G. C.,Atti del convegno AMTA 2014 - Association for Machine Translation in the Americas,2014, pp. 152-165
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Mathur, Prashant; Cettolo, Mauro,Atti di IAMT 2014 - WORKSHOP ON INTERACTIVE AND ADAPTIVE MACHINE TRANSLATION,2014, pp. 32-41
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Cettolo, Mauro; Bertoldi, Nicola; Federico, Marcello,Atti del convegno CLIC-IT,Pisa University Press,vol. 1,2014
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Bertoldi, Nicola; Patrick, Simianer; Cettolo, Mauro; Katharina, Wäschle; Federico, Marcello; Stefan, Riezler,in «MACHINE TRANSLATION»,vol. 28,n. 3-4,2014, pp. 309-339
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Cettolo, Mauro; Bertoldi, Nicola; Federico, Marcello; Holger, Schwenk; Loïc, Barrault; Christophe, Servan,in «MACHINE TRANSLATION»,vol. 28,n. 2,2014, pp. 127-150
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Freitag, M.; Wuebker, J.; Peitz, S.; Ney, H.; Huck, M.; Birch, A.; Durrani, N.; Koehn, P.; Mediani, M.; Slawik, I.; Niehues, J.; Cho, E.; Waibel, A.; Bertoldi, Nicola; Cettolo, Mauro; Federico, Marcello,Prooceedings of the 11th International Workshop on Spoken Language Translation,2014, pp. 57-64
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Federico, Marcello; Negri, Matteo; Bentivogli, Luisa; Turchi, Marco,Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models.,Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP),2014, pp. 1643-1653
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Marelli, M.; Bentivogli, Luisa; Baroni, M.; Bernardi, R.; Menini, Stefano; Zamparelli, R.,SemEval-2014 Task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment,Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014),2014
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Marelli, M.; Menini, Stefano; Baroni, M.; Bentivogli, Luisa; Bernardi, R.; Zamparelli, R.,A SICK cure for the evaluation of compositional distributional semantic models,Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14),2014
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Cettolo, Mauro; Niehues, J.; Stüker, S.; Bentivogli, Luisa; Federico, Marcello,Proceedings of the International Workshop on Spoken Language Translation,Marcello Federico, Sebastian Stüker, François Yvon,2014, pp. 2-17
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Girardi, Christian; Bentivogli, Luisa; Farajian, Mohammad Amin; Federico, Marcello,Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics,2014, pp. 120-123
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Bentivogli, Luisa; Magnini, Bernardo,Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014,2014, pp. 63-66
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Rospocher, Marco; Corcoglioniti, Francesco; Cattoni, Roldano; Magnini, Bernardo; Serafini, Luciano,in «CEUR WORKSHOP PROCEEDINGS»,Proceedings of the ISWC 2014 Posters & Demonstrations Track,vol. 1272,2014, pp. 69-72
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Federico, Marcello; Bertoldi, Nicola; Cettolo, Mauro; Negri, Matteo; Turchi, Marco; Marco, Trombetti; Alessandro, Cattelan; Antonio, Farina; Domenico, Lupinetti; Andrea, Martines; Alberto, Massidda; Holger, Schwenk; Loïc, Barrault; Frederic, Blain; Philipp, Koehn; Christian, Buck; Ulrich, Germann,Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations,2014, pp. 129-132
Our pick of the week by @FBKZhihangXie: "PHRASED: Phrase Dictionary Biasing for Speech Translation" by Peidong Wang, Jian Xue, Rui Zhao, @ChenJunkun, Aswin Shanmugam Subramanian, and Jinyu Li (2025).
#Speech #SpeechAI #Translation #ST #SpeechTranslation
🚀 Boost rare-phrase translation in speech! Uses **bilingual dictionaries** to dynamically bias outputs.
✅ **+21%** recall in streaming ST
✅ **+85%** in multimodal LLMs
🔗: http://arxiv.org/abs/2506.09175
FAMA è il primo foundation model vocale open-science per ita e eng, sviluppato da FBK. Riconosce e traduce la voce usando solo dati e strumenti pubblici: oltre 150.000 ore di audio open, codice e processi completamente accessibili.
@fbk_stek @fbk_mt
https://magazine.fbk.eu/it/news/la-prima-famiglia-di-modelli-open-science-per-il-riconoscimento-vocale-e-la-traduzione-del-parlato/
Emanuele Pianta Award for the Best Master’s Thesis in Computational Linguistics submitted at an Italian university and defended between August 1st 2024 and July 31st 2025
- Deadline: August 1st, 2025 (11:59 pm CEST)
- All details online: https://clic2025.unica.it/emanuele-pianta-award-for-the-best-masters-thesis/
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