World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5992
World Ranking
8937
National Ranking
134

Overview

Francisco Casacuberta is affiliated with the Universitat Politècnica de València in Spain. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Casacuberta's contributions span multiple subfields, including Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Computational Theory and Mathematics.

The scientist has worked extensively on Natural Language Processing Techniques, which constitute a significant portion of their research output. Other main research topics include Topic Modeling, Text Readability and Simplification, Multimodal Machine Learning Applications, Semantic Web and Ontologies, Handwritten Text Recognition Techniques, and Advanced Text Analysis Techniques.

Casacuberta has coauthored several publications with a range of collaborators. Frequent coauthors include Miguel Domingo, Ángel Navarro, Juan Miguel Vilar, Enrique Vidal, and Salvador Carrión.

They have published articles in various venues. Some of the recurring publication outlets include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Neural Processing Letters
  • Applied Sciences
  • Pattern Recognition Letters

Recent papers authored or coauthored by Casacuberta include:

  • Combining Embeddings of Input Data for Text Classification, 2020, Neural Processing Letters
  • Modernizing Historical Documents: A User Study, 2020, Pattern Recognition Letters
  • Neural Models for Measuring Confidence on Interactive Machine Translation Systems, 2022, Applied Sciences
  • On the Use of Mouse Actions at the Character Level, 2022, Information
  • Interactive Machine Translation for the Language Modernization and Spelling Normalization of Historical Documents, 2023, Pattern Analysis and Applications

This collection of publications reflects a consistent engagement with topics related to machine learning, translation, and historical text processing. Casacuberta's work includes both theoretical approaches and applied methodologies aimed at improving natural language understanding and processing technologies.

Best Publications

  • Probabilistic finite-state machines - part II

    E. Vidal;F. Thollard;C. de la Higuera;F. Casacuberta

  • Statistical approaches to computer-assisted translation

    Sergio Barrachina;Oliver Bender;Francisco Casacuberta;Jorge Civera

  • Machine Translation with Inferred Stochastic Finite-State Transducers

    Francisco Casacuberta;Enrique Vidal

  • INTEGRATED HANDWRITING RECOGNITION AND INTERPRETATION USING FINITE-STATE MODELS

    Alejandro Héctor Toselli;Alfons Juan;Jorge González;Ismael Salvador

  • Topology of strings: median string is NP-complete

    C. de la Higuera;F. Casacuberta

  • Probabilistic finite-state machines - part II

    Unknown

  • The EuTrans Spoken Language Translation System

    Juan Carlos Amengual;Asunción Castaño;Antonio Castellanos;Victor M. Jiménez

  • Some approaches to statistical and finite-state speech-to-speech translation

    F. Casacuberta;H. Ney;F.J. Och;E. Vidal

  • An analysis of general acoustic-phonetic features for Spanish speech produced with the Lombard effect

    Antonio Castellanos;José-Miguel Benedí;Francisco Casacuberta

  • Computational Complexity of Problems on Probabilistic Grammars and Transducers

    Francisco Casacuberta;Colin De La Higuera

  • Online Learning for Interactive Statistical Machine Translation

    Daniel Ortiz-Mart'inez;Ismael Garc'ia-Varea;Francisco Casacuberta

  • Multimodal Interactive Pattern Recognition and Applications

    Alejandro Hctor Toselli;Enrique Vidal;Francisco Casacuberta

  • Interactive neural machine translation

    lvaro Peris;Miguel Domingo;Francisco Casacuberta

  • CASMACAT: An Open Source Workbench for Advanced Computer Aided Translation

    Vicent Alabau;Ragnar Bonk;Christian Buck;Michael Carl

  • Statistical Post-Editing of a Rule-Based Machine Translation System

    Antonio-L. Lagarda;Vicent Alabau;Francisco Casacuberta;Roberto Silva

  • Computer-assisted translation using speech recognition

    E. Vidal;F. Casacuberta;L. Rodriguez;J. Civera

  • Recent efforts in spoken language translation

    F. Casacuberta;M. Federico;H. Ney;E. Vidal

  • Thot: a Toolkit To Train Phrase-based Statistical Translation Models

    Daniel Ortiz-Martínez;Ismael García-Varea;Francisco Casacuberta

  • Local Languages, the Succesor Method, and a Step Towards a General Methodology for the Inference of Regular Grammars

    Pedro Garcia;Enrique Vidal;Francisco Casacuberta

  • Monotone statistical translation using word groups

    Jesús Tomás;Francisco Casacuberta

  • Interactive pattern recognition

    Enrique Vidal;Luis Rodríguez;Francisco Casacuberta;Ismael García-Varea

Frequent Co-Authors

Enrique Vidal
Enrique Vidal Universitat Politècnica de València
Hermann Ney
Hermann Ney RWTH Aachen University
Philipp Koehn
Philipp Koehn Johns Hopkins University
Petia Radeva
Petia Radeva University of Barcelona
Franz Josef Och
Franz Josef Och Google (United States)
Marcello Federico
Marcello Federico Amazon (United States)
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Gernot A. Fink
Gernot A. Fink TU Dortmund University
Jörg Tiedemann
Jörg Tiedemann University of Helsinki
Gabriele C. Hegerl
Gabriele C. Hegerl University of Edinburgh

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