H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 4,897 245 World Ranking 8019 National Ranking 116

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Francisco Casacuberta mainly focuses on Artificial intelligence, Machine translation, Natural language processing, Rule-based machine translation and Example-based machine translation. His research in Artificial intelligence intersects with topics in Speech recognition and Pattern recognition. His Speech recognition study combines topics from a wide range of disciplines, such as Speech translation and Computation.

Francisco Casacuberta combines subjects such as Computational linguistics and Machine learning, Feature with his study of Machine translation. Francisco Casacuberta combines topics linked to Synthetic data with his work on Natural language processing. In his research on the topic of Rule-based machine translation, Synchronous context-free grammar is strongly related with Grammar.

His most cited work include:

  • Probabilistic finite-state machines - part II (246 citations)
  • Statistical approaches to computer-assisted translation (168 citations)
  • Machine Translation with Inferred Stochastic Finite-State Transducers (140 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Machine translation, Natural language processing, Speech recognition and Translation. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. His Machine translation research is multidisciplinary, incorporating elements of Sentence and Pattern recognition.

His Natural language processing study frequently involves adjacent topics like Word. His Speech recognition research incorporates elements of Speech translation and Decoding methods. His Translation research includes elements of Active learning, Segmentation and Human–computer interaction.

He most often published in these fields:

  • Artificial intelligence (70.45%)
  • Machine translation (52.92%)
  • Natural language processing (40.89%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (70.45%)
  • Machine translation (52.92%)
  • Translation (23.71%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Machine translation, Translation, Natural language processing and Machine learning. His study ties his expertise on Pattern recognition together with the subject of Artificial intelligence. His work deals with themes such as Field, Human–computer interaction, Adaptation and Closed captioning, which intersect with Machine translation.

The various areas that he examines in his Translation study include Active learning, Discriminative model and Rule-based machine translation. His work on Transfer-based machine translation, Sentence and Example-based machine translation as part of general Natural language processing research is often related to Task, thus linking different fields of science. His study in Machine learning is interdisciplinary in nature, drawing from both Reduction, Interactive machine translation, Phrase and Pattern recognition.

Between 2014 and 2021, his most popular works were:

  • Interactive neural machine translation (45 citations)
  • Adapting Neural Machine Translation with Parallel Synthetic Data. (37 citations)
  • Active Learning for Interactive Neural Machine Translation of Data Streams (22 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Probabilistic finite-state machines - part II

E. Vidal;F. Thollard;C. de la Higuera;F. Casacuberta.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

384 Citations

Statistical approaches to computer-assisted translation

Sergio Barrachina;Oliver Bender;Francisco Casacuberta;Jorge Civera.
Computational Linguistics (2009)

266 Citations

Machine Translation with Inferred Stochastic Finite-State Transducers

Francisco Casacuberta;Enrique Vidal.
Computational Linguistics (2004)

202 Citations

INTEGRATED HANDWRITING RECOGNITION AND INTERPRETATION USING FINITE-STATE MODELS

Alejandro Héctor Toselli;Alfons Juan;Jorge González;Ismael Salvador.
International Journal of Pattern Recognition and Artificial Intelligence (2004)

182 Citations

Topology of strings: median string is NP-complete

C. de la Higuera;F. Casacuberta.
Theoretical Computer Science (1999)

148 Citations

The EuTrans Spoken Language Translation System

Juan Carlos Amengual;Asunción Castaño;Antonio Castellanos;Victor M. Jiménez.
Machine Translation (2000)

123 Citations

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

F. Casacuberta;H. Ney;F.J. Och;E. Vidal.
Computer Speech & Language (2004)

113 Citations

Computational Complexity of Problems on Probabilistic Grammars and Transducers

Francisco Casacuberta;Colin De La Higuera.
international colloquium on grammatical inference (2000)

109 Citations

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

Antonio Castellanos;José-Miguel Benedí;Francisco Casacuberta.
Speech Communication (1996)

95 Citations

Online Learning for Interactive Statistical Machine Translation

Daniel Ortiz-Mart'inez;Ismael Garc'ia-Varea;Francisco Casacuberta.
north american chapter of the association for computational linguistics (2010)

95 Citations

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Best Scientists Citing Francisco Casacuberta

Enrique Vidal

Enrique Vidal

Universitat Politècnica de València

Publications: 99

Hermann Ney

Hermann Ney

RWTH Aachen University

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Philipp Koehn

Philipp Koehn

Johns Hopkins University

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Andy Way

Andy Way

Dublin City University

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Asok Ray

Asok Ray

Pennsylvania State University

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Marcello Federico

Marcello Federico

Amazon (United States)

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Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 23

Marco Turchi

Marco Turchi

Fondazione Bruno Kessler

Publications: 17

Horst Bunke

Horst Bunke

University of Bern

Publications: 16

Daniel Marcu

Daniel Marcu

University of Southern California

Publications: 15

Kevin Knight

Kevin Knight

University of Southern California

Publications: 15

Alex Waibel

Alex Waibel

Carnegie Mellon University

Publications: 15

Stefan Riezler

Stefan Riezler

Heidelberg University

Publications: 14

Xiaoyi Jiang

Xiaoyi Jiang

University of Münster

Publications: 11

Josef van Genabith

Josef van Genabith

German Research Centre for Artificial Intelligence

Publications: 10

Satoshi Nakamura

Satoshi Nakamura

Nara Institute of Science and Technology

Publications: 10

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