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Computer Science

D-Index
43
Citations
8641
World Ranking
7932
National Ranking
208

Overview

Marco Turchi is affiliated with the Fondazione Bruno Kessler in Italy and specializes in computer science with a strong emphasis on artificial intelligence and language technologies. Their research output focuses on several interconnected subfields including natural language processing techniques, speech recognition and synthesis, and multimodal machine learning applications.

The core topics of Marco Turchi's work encompass:

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

Among the recent papers authored or co-authored by Marco Turchi are:

  • 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))
  • How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation (2021, Institutional Research Information System (Università degli Studi di Trento))
  • Simultaneous Speech Translation for Live Subtitling: from Delay to Display (2021, arXiv (Cornell University))

Frequent co-authors working with Marco Turchi include:

  • Matteo Negri
  • Marco Gaido
  • Sara Papi
  • Luisa Bentivogli
  • Alina Karakanta

Marco Turchi's research has been disseminated primarily through venues such as:

  • 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

Their contributions span over 100 publications, predominantly within computer science and more specifically artificial intelligence. They have actively contributed to advancing methods in speech translation, neural machine translation for low-resource languages, and hybrid audio segmentation techniques. The application of their work often intersects with audiovisual media, addressing subtitle generation and speech dialogue systems.

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

  • Support vector machines

    Alessia Mammone;Marco Turchi;Nello Cristianini

  • Estimating the Sentence-Level Quality of Machine Translation Systems

    Lucia Specia;Marco Turchi;Nicola Cancedda;Nello Cristianini

  • Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis

    Alexandra Balahur;Marco Turchi

  • MuST-C: a Multilingual Speech Translation Corpus

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

  • Machine translation evaluation versus quality estimation

    Lucia Specia;Dhwaj Raj;Marco Turchi

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis

    Lorenzo Gatti;Marco Guerini;Marco Turchi

  • 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

  • Multilingual Sentiment Analysis using Machine Translation

    Alexandra Balahur;Marco Turchi

  • Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet

    Marco Guerini;Lorenzo Gatti;Marco Turchi

  • The IWSLT 2018 Evaluation Campaign

    Niehues Jan;Roldano Cattoni;Stüker Sebastian;Mauro Cettolo

  • 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 Multilingual TEDx Corpus for Speech Recognition and Translation

    Elizabeth Salesky;Matthew Wiesner;Jacob Bremerman;Roldano Cattoni

Frequent Co-Authors

Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Marcello Federico
Marcello Federico Amazon (United States)
Lucia Specia
Lucia Specia Imperial College London
Nello Cristianini
Nello Cristianini University of Bath
Tijl De Bie
Tijl De Bie Ghent University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Philipp Koehn
Philipp Koehn Johns Hopkins University
Christof Monz
Christof Monz University of Amsterdam
Barry Haddow
Barry Haddow University of Edinburgh
Karin Verspoor
Karin Verspoor RMIT University

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