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Barbu, Eduard; Escartín, Carla Parra; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco; Federico, Marcello; Mastrostefano, Luca; Orasan, Constantin,Proceedings of the LREC 2016 2nd Workshop on Natural Language Processing for Translation Memories (NLP4TM 2016),2016, pp. 1-5
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Bentivogli, Luisa; Federico, Marcello; Stüker, Sebastian; Cettolo, Mauro; Niehues, Jan,Proceedings of the LREC 2016 Workshop on Translation Evaluation: From Fragmented Tools and Data Sets to an Integrated Ecosystem,2016, pp. 14-19
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Sprugnoli, Rachele; Moretti, Giovanni; Bentivogli, Luisa; Giuliani, Diego,Creating a ground truth multilingual dataset of news and talk show transcriptions through crowdsourcing,in «LANGUAGE RESOURCES AND EVALUATION»,2016
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Barbu, Eduard; Parra Escartin, Carla; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco; Orasan, Constantin; Federico, Marcello,in «MACHINE TRANSLATION»,vol. 30,n. 3,2016, pp. 145-166
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Cettolo, Mauro; Niehues, Jan; Stüker, Sebastian; Bentivogli, Luisa; Cattoni, Roldano; Federico, Marcello,Proceedings of the International Workshop on Spoken Language Translation,2016
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Chatterjee, Rajen; Arcan, Mihael; Negri, Matteo; Turchi, Marco,Proceedings of AMTA 2016, vol. 1: MT Researchers’ Track,2016, pp. 1-15
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Bojar, Ondˇrej; Chatterjee, Rajen; Federmann, Christian; Graham, Yvette; Haddow, Barry; Huck, Matthias; Yepes, Antonio Jimeno; Koehn, Philipp; Logacheva, Varvara; Monz, Christof; Negri, Matteo; Neveol, Aurelie; Neves, Mariana; Popel, Martin; Post, Matt; Rubino, Raphael; Scarton, Carolina; Specia, Lucia; Turchi, Marco; Verspoor, Karin; Zampieri, Marcos,Proceedings of the First Conference on Machine Translation (WMT),The Association for Computational Linguistics,2016, pp. 131-198
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Chatterjee, Rajen; de Souza, Jose G. C.; Negri, Matteo; Turchi, Marco,Proceedings of the First Conference on Machine Translation (WMT),The Association for Computational Linguistics,2016, pp. 745-750
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Masoud, Jalili Sabet; Negri, Matteo; Turchi, Marco; José, G. C. de Souza; Federico, Marcello,Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (System Demonstrations),The Association for Computational Linguistics,2016, pp. 49-54
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Jalalvand, Shahab; Negri, Matteo; Turchi, Marco; José, G. C. de Souza; Falavigna, Giuseppe Daniele; Qwaider, Mohammed R H,Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (System Demonstrations),The Association for Computational Linguistics,2016, pp. 43-48
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Ataman, Duygu; Camargo de Souza, José Guilherme; Turchi, Marco; Negri, Matteo,Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016,The Association for Computer Linguistics,2016, pp. 570-576
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Masoud, Jalili Sabet; Negri, Matteo; Turchi, Marco; Eduard, Barbu,Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers),The Association for Computational Linguistics,2016, pp. 287-292
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Kotlerman, Lili; Dagan, Ido; Magnini, Bernardo; Bentivogli, Luisa,in «NATURAL LANGUAGE ENGINEERING»,vol. 21,n. 5,2015, pp. 699-724
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Cettolo, Mauro; Niehues, Jan; Stüker, Sebastian; Bentivogli, Luisa; Cattoni, Roldano; Federico, Marcello,Proceedings of IWSLT,2015
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Corcoglioniti, Francesco; Rospocher, Marco; Cattoni, Roldano; Magnini, Bernardo; Serafini, Luciano,in «INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS»,vol. 11,n. 2,2015, pp. 1-35
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Bojar, Ondrej; Chatterjee, Rajen; Federmann, Christian; Haddow, Barry; Huck, Matthias; Hokamp, Chris; Koehn, Philipp; Logacheva, Varvara; Monz, Christof; Negri, Matteo; Post, Matt; Scarton, Carolina; Specia, Lucia; Turchi, Marco,Proceedings of the Tenth Workshop on Statistical Machine Translation,Association for Computational Linguistics,2015, pp. 1-46
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Chatterjee, Rajen; Turchi, Marco; Negri, Matteo,Proceedings of the Tenth Workshop on Statistical Machine Translation,Association for Computational Linguistics,2015, pp. 210-215
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Turchi, Marco; Negri, Matteo; Federico, Marcello,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. 530-535
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Jalalvand, Shahab; Negri, Matteo; Falavigna, Giuseppe Daniele; 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. 1095-1105
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