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Matteo Negri

Matteo Negri

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6352
World Ranking
8621
National Ranking
329

Overview

Matteo Negri is affiliated with the University of Pavia in Italy and has developed a significant body of research within the field of Computer Science, with a focus on Artificial Intelligence, Language and Linguistics, and Signal Processing.

Their research extensively covers topics including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and Dialogue Systems
  • Subtitles and Audiovisual Media
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications

Matteo Negri has published in several venues, notably:

  • arXiv (Cornell University)
  • Institutional Research Information System (Università degli Studi di Trento)
  • Transactions of the Association for Computational Linguistics
  • Italian Journal of Computational Linguistics
  • Computer Speech & Language

Some of their recent papers include:

  • MuST-C: A multilingual corpus for end-to-end speech translation, 2020, Computer Speech & Language
  • Low Resource Neural Machine Translation: A Benchmark for Five African Languages, 2020, arXiv (Cornell University)
  • Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation, 2021, arXiv (Cornell University)
  • On the development of an information system for monitoring user opinion and its role for the public, 2022, Journal Of Big Data
  • Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges, 2023, arXiv (Cornell University)

Frequent collaborators in Matteo Negri's work include:

  • Marco Gaido
  • Marco Turchi
  • Luisa Bentivogli
  • Sara Papi
  • Beatrice Savoldi

Their research intersects several subfields such as Artificial Intelligence, which comprises the majority of their publications, and they contribute actively to smaller subfields like Language and Linguistics, Signal Processing, and Computer Vision and Pattern Recognition.

Best Publications

  • Findings of the 2015 Workshop on Statistical Machine Translation

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Barry Haddow

  • Findings of the 2017 Conference on Machine Translation (WMT17)

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Findings of the 2016 Conference on Machine Translation

    Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Is It the Right Answer? Exploiting Web Redundancy for Answer Validation

    Bernardo Magnini;Matteo Negri;Roberto Prevete;Hristo Tanev

  • MuST-C: a Multilingual Speech Translation Corpus

    Mattia Antonino Di Gangi;Roldano Cattoni;Luisa Bentivogli;Matteo Negri

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Junction-aware extraction and regularization of urban road networks in high-resolution SAR images

    M. Negri;P. Gamba;G. Lisini;F. Tupin

  • Adapting Transformer to End-to-End Spoken Language Translation.

    Mattia Antonino Di Gangi;Matteo Negri;Marco Turchi

  • MuST-C: A multilingual corpus for end-to-end speech translation

    Roldano Cattoni;Mattia Antonino Di Gangi;Mattia Antonino Di Gangi;Luisa Bentivogli;Matteo Negri

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Multi-Domain Neural Machine Translation through Unsupervised Adaptation

    M. Amin Farajian;Marco Turchi;Matteo Negri;Marcello Federico

  • Gender Bias in Machine Translation

    Beatrice Savoldi;Marco Gaido;Luisa Bentivogli;Matteo Negri

  • Findings of the WMT 2019 Shared Task on Automatic Post-Editing

    Rajen Chatterjee;Christian Federmann;Matteo Negri;Marco Turchi

  • Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English

    Duygu Ataman;Duygu Ataman;Matteo Negri;Marco Turchi;Marcello Federico

  • The IWSLT 2019 Evaluation Campaign

    J. Niehues;R. Cattoni;S. Stüker;M. Negri

  • The Multilingual TEDx Corpus for Speech Recognition and Translation

    Elizabeth Salesky;Matthew Wiesner;Jacob Bremerman;Roldano Cattoni

  • ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

    Matteo Negri;Marco Turchi;Rajen Chatterjee;Nicola Bertoldi

  • The QALL-ME Framework: A specifiable-domain multilingual Question Answering architecture ⁎ ☆

    Óscar Ferrández;Christian Spurk;Milen Kouylekov;Iustin Dornescu

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

  • Guiding Neural Machine Translation Decoding with External Knowledge

    Rajen Chatterjee;Matteo Negri;Marco Turchi;Marcello Federico

  • Monitoring Subsurface Contamination Using Tree Branches

    Gayathri Gopalakrishnan;Gayathri Gopalakrishnan;M. Cristina Negri;Barbara S. Minsker;Charles J. Werth

  • Contextual Handling in Neural Machine Translation: Look Behind, Ahead and on Both Sides

    Ruchit Rajeshkumar Agrawal;Marco Turchi;Matteo Negri

  • Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus.

    Luisa Bentivogli;Beatrice Savoldi;Matteo Negri;Mattia Antonino Di Gangi

  • Continuous Learning from Human Post-Edits for Neural Machine Translation

    Marco Turchi;Matteo Negri;M. Amin Farajian;Marcello Federico

  • One-to-Many Multilingual End-to-End Speech Translation

    Mattia A. Di Gangi;Matteo Negri;Marco Turchi

  • Multilingual Neural Machine Translation for Low-Resource Languages

    Surafel M. Lakew;Marcello Federico;Matteo Negri;Marco Turchi

  • FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task

    José Guilherme Camargo de Souza;Jesús González-Rubio;Christian Buck;Marco Turchi

  • Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

    Surafel Melaku Lakew;Aliia Erofeeva;Matteo Negri;Marcello Federico

  • Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task.

    Rajen Chatterjee;M. Amin Farajian;Matteo Negri;Marco Turchi

  • Findings of the WMT 2018 Shared Task on Automatic Post-Editing.

    Rajen Chatterjee;Matteo Negri;Raphael Rubino;Marco Turchi

Frequent Co-Authors

Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Marcello Federico
Marcello Federico Amazon (United States)

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