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ORCIDMattia Antonino Di Gangi
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2020 – today
- 2022
[c28]Mattia Antonino Di Gangi:
Neural Speech Translation: From Neural Machine Translation to Direct Speech Translation. EAMT 2022: 7-8- 2021
- [j4]Roldano Cattoni, Mattia Antonino Di Gangi
, Luisa Bentivogli, Matteo Negri, Marco Turchi:
MuST-C: A multilingual corpus for end-to-end speech translation. Comput. Speech Lang. 66: 101155 (2021) - [c27]Parnia Bahar, Patrick Wilken, Mattia Antonino Di Gangi, Evgeny Matusov:
Without Further Ado: Direct and Simultaneous Speech Translation by AppTek in 2021. IWSLT 2021: 52-63 - 2020
- [c26]Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, Mattia Antonino Di Gangi, Roldano Cattoni, Marco Turchi:
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus. ACL 2020: 6923-6933 - [c25]Mattia Antonino Di Gangi, Marco Gaido, Matteo Negri, Marco Turchi:
On Target Segmentation for Direct Speech Translation. AMTA 2020: 137-150 - [c24]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
On Knowledge Distillation for Direct Speech Translation. CLiC-it 2020 - [c23]Mattia Antonino Di Gangi, Viet-Nhat Nguyen, Matteo Negri, Marco Turchi:
Instance-based Model Adaptation for Direct Speech Translation. ICASSP 2020: 7914-7918 - [c22]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Mauro Cettolo, Marco Turchi:
Contextualized Translation of Automatically Segmented Speech. INTERSPEECH 2020: 1471-1475 - [c21]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020. IWSLT 2020: 80-88 - [i14]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020. CoRR abs/2006.02965 (2020) - [i13]Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, Mattia Antonino Di Gangi, Roldano Cattoni, Marco Turchi:
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus. CoRR abs/2006.05754 (2020) - [i12]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Mauro Cettolo, Marco Turchi:
Contextualized Translation of Automatically Segmented Speech. CoRR abs/2008.02270 (2020) - [i11]Mattia Antonino Di Gangi, Marco Gaido, Matteo Negri, Marco Turchi:
On Target Segmentation for Direct Speech Translation. CoRR abs/2009.04707 (2020) - [i10]Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
On Knowledge Distillation for Direct Speech Translation. CoRR abs/2012.04964 (2020)
2010 – 2019
- 2019
- [j3]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Giovanni Pilato:
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection. Nat. Lang. Eng. 25(2): 257-285 (2019) - [c20]Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
One-to-Many Multilingual End-to-End Speech Translation. ASRU 2019: 585-592 - [c19]Duygu Ataman, Orhan Firat, Mattia Antonino Di Gangi, Marcello Federico, Alexandra Birch:
On the Importance of Word Boundaries in Character-level Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 187-193 - [c18]Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
Adapting Transformer to End-to-End Spoken Language Translation. INTERSPEECH 2019: 1133-1137 - [c17]Mattia Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico:
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts. IWSLT 2019 - [c16]Mattia Antonino Di Gangi, Matteo Negri, Viet-Nhat Nguyen, Amirhossein Tebbifakhr, Marco Turchi:
Data Augmentation for End-to-End Speech Translation: FBK@IWSLT '19. IWSLT 2019 - [c15]Surafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico:
Controlling the Output Length of Neural Machine Translation. IWSLT 2019 - [c14]Mattia Antonino Di Gangi, Matteo Negri, Roldano Cattoni, Roberto Dessì, Marco Turchi:
Enhancing Transformer for End-to-end Speech-to-Text Translation. MTSummit (1) 2019: 21-31 - [c13]Mattia Antonino Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi:
MuST-C: a Multilingual Speech Translation Corpus. NAACL-HLT (1) 2019: 2012-2017 - [i9]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Giovanni Pilato:
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection. CoRR abs/1904.04019 (2019) - [i8]Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico:
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors. CoRR abs/1904.10997 (2019) - [i7]Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
One-To-Many Multilingual End-to-end Speech Translation. CoRR abs/1910.03320 (2019) - [i6]Duygu Ataman, Orhan Firat, Mattia Antonino Di Gangi, Marcello Federico, Alexandra Birch:
On the Importance of Word Boundaries in Character-level Neural Machine Translation. CoRR abs/1910.06753 (2019) - [i5]Mattia Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico:
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts. CoRR abs/1910.10238 (2019) - [i4]Surafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico:
Controlling the Output Length of Neural Machine Translation. CoRR abs/1910.10408 (2019) - [i3]Mattia Antonino Di Gangi, Viet-Nhat Nguyen, Matteo Negri, Marco Turchi:
Instance-Based Model Adaptation For Direct Speech Translation. CoRR abs/1910.10663 (2019) - 2018
- [j2]Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo:
Deep learning architectures for prediction of nucleosome positioning from sequences data. BMC Bioinform. 19-S(14): 127-135 (2018) - [c12]Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo:
Recurrent Deep Neural Networks for Nucleosome Classification. CIBB 2018: 118-127 - [c11]Duygu Ataman, Mattia Antonino Di Gangi, Marcello Federico:
Compositional Source Word Representations for Neural Machine Translation. EAMT 2018: 51-60 - [c10]Mattia Antonino Di Gangi, Marcello Federico:
Deep Neural Machine Translation with Weakly-Recurrent Units. EAMT 2018: 139-148 - [c9]Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni, Matteo Negri, Marco Turchi:
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018. IWSLT 2018: 147-152 - [i2]Mattia Antonino Di Gangi, Marcello Federico:
Deep Neural Machine Translation with Weakly-Recurrent Units. CoRR abs/1805.04185 (2018) - [i1]Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni, Matteo Negri, Marco Turchi:
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018. CoRR abs/1810.07652 (2018) - 2017
- [j1]Fabio Aurelio D'Asaro, Mattia Antonino Di Gangi, Valerio Perticone, Marco Elio Tabacchi:
Computational Intelligence and Citizen Communication in the Smart City. Inform. Spektrum 40(1): 25-34 (2017) - [c8]Mattia Antonino Di Gangi, Marcello Federico:
Can Monolingual Embeddings Improve Neural Machine Translation? CLiC-it 2017 - [c7]Surafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico:
Multilingual Neural Machine Translation for Low Resource Languages. CLiC-it 2017 - [c6]Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico:
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors. INTERSPEECH 2017: 2635-2639 - [c5]Mattia Antonino Di Gangi, Salvatore Gaglio, Claudio La Bua, Giosuè Lo Bosco, Riccardo Rizzo:
A Deep Learning Network for Exploiting Positional Information in Nucleosome Related Sequences. IWBBIO (2) 2017: 524-533 - [c4]Mattia Antonino Di Gangi, Marcello Federico:
Monolingual Embeddings for Low Resourced Neural Machine Translation. IWSLT 2017: 97-104 - [c3]Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico:
FBK's Participation to the English-to-German News Translation Task of WMT 2017. WMT 2017: 271-275 - 2016
- [c2]M. Amin Farajian, Rajen Chatterjee, Costanza Conforti, Shahab Jalalvand, Vevake Balaraman, Mattia Antonino Di Gangi, Duygu Ataman, Marco Turchi, Matteo Negri, Marcello Federico:
FBK's Neural Machine Translation Systems for IWSLT 2016. IWSLT 2016 - [c1]Giosuè Lo Bosco, Mattia Antonino Di Gangi:
Deep Learning Architectures for DNA Sequence Classification. WILF 2016: 162-171
Coauthor Index
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