World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
15892
World Ranking
4979
National Ranking
2314

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Marcello Federico is a researcher affiliated with Amazon in the United States, specializing primarily in the field of Computer Science. Their body of work encompasses various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Language and Linguistics, and Experimental and Cognitive Psychology.

Their research topics cover several areas such as Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Text Readability and Simplification, Speech Recognition and Synthesis, Music and Audio Processing, and Subtitles and Audiovisual Media.

Marcello Federico's recent scholarly contributions include:

  • CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality, 2022, Findings of the Association for Computational Linguistics: NAACL 2022
  • ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Duration Modeling of Neural TTS for Automatic Dubbing, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Sockeye 3: Fast Neural Machine Translation with PyTorch, 2022, arXiv (Cornell University)
  • Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric, 2022, arXiv (Cornell University)

Their frequent coauthors include Prashant Mathur, Yogesh Virkar, Brian J. Thompson, Surafel M. Lakew, and Maria Nădejde, reflecting ongoing collaborations within their research network.

Marcello Federico has published extensively in venues such as arXiv (Cornell University), ICASSP 2022, Interspeech 2022, Findings of the Association for Computational Linguistics: NAACL 2022, and Information.

In recognition of their professional contributions, they were awarded the ACM Senior Member status in 2016.

Best Publications

  • Moses: Open Source Toolkit for Statistical Machine Translation

    Philipp Koehn;Hieu Hoang;Alexandra Birch;Chris Callison-Burch

  • WIT3: Web Inventory of Transcribed and Translated Talks

    Mauro Cettolo;Christian Girardi;Marcello Federico

  • IRSTLM: an open source toolkit for handling large scale language models.

    Marcello Federico;Nicola Bertoldi;Mauro Cettolo

  • Neural versus Phrase-Based Machine Translation Quality: a Case Study

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

  • Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014

    Mauro Cettolo;J. Niehues;S. Stüker;Luisa Bentivogli

  • The IWSLT 2016 Evaluation Campaign

    Mauro Cettolo;Niehues Jan;Stüker Sebastian;Luisa Bentivogli

  • Overview of the IWSLT 2010 evaluation campaign.

    Michael Paul;Marcello Federico;Sebastian Stüker

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Domain Adaptation for Statistical Machine Translation with Monolingual Resources

    Nicola Bertoldi;Marcello Federico

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Training Neural Machine Translation to Apply Terminology Constraints

    Georgiana Dinu;Prashant Mathur;Marcello Federico;Yaser Al-Onaizan

  • Overview of the IWSLT 2011 evaluation campaign.

    Marcello Federico;Luisa Bentivogli;Michael Paul;Sebastian Stüker

  • Modelling Pronominal Anaphora in Statistical Machine Translation

    Christian Hardmeier;Marcello Federico

  • Fill-up versus Interpolation Methods for Phrase-based SMT Adaptation

    Arianna Bisazza;Nick Ruiz;Marcello Federico

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation

    Marcello Federico;Alessandro Cattelan;Marco Trombetti

  • Multi-Domain Neural Machine Translation through Unsupervised Adaptation

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

  • Bayesian estimation methods for n-gram language model adaptation

    M. Federico

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

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

  • Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding

    Philipp Koehn;Marcello Federico;Wade Shen;Nicola Bertoldi

Frequent Co-Authors

Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Philipp Koehn
Philipp Koehn Johns Hopkins University
Hermann Ney
Hermann Ney RWTH Aachen University
Jan Niehues
Jan Niehues Karlsruhe Institute of Technology
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Ondrej Bojar
Ondrej Bojar Charles University
Holger Schwenk
Holger Schwenk Facebook (United States)
Alex Waibel
Alex Waibel Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a degree in computer science opens doors to many allied fields and flexible online learning opportunities. For those interested in technology’s broader landscape, consider the top online electrical engineering schools in the USA. These programs allow you to build expertise in areas such as electronics, robotics, and embedded systems, which increasingly intersect with computer science.

If you’re looking for ways to boost your credentials quickly, there are also certificate programs that pay well. Certifications in fields like cloud computing, data analytics, and cybersecurity can be completed in a short time and can lead to in-demand roles with competitive salaries.

For advanced study, consider the shortest master degree programs available online. These intensive options make it possible to earn a respected graduate degree in as little as one year, accelerating your career growth.

Not sure which graduate track fits your goals best? Research the most useful graduate degrees to find programs that promise strong job prospects and relevance in the evolving tech industry.

Best Scientists Citing Marcello Federico

Trending Scientists

Recently Published Articles