Juan Miguel Vilar

发表

From Machine Translation to Computer Assisted Translation using Finite-State Models

Francisco Casacuberta, Enrique Vidal, Jorge Civera, 2004, EMNLP.

Matrics, a Car License Plate Recognition System

Juan Miguel Vilar, Andrés Marzal, David Llorens, 2007, IbPRIA.

Speech-to-speech translation based on finite-state transducers

Hermann Ney, Francisco Casacuberta, David Picó, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A Recursive Statistical Translation Model

Enrique Vidal, Juan Miguel Vilar, 2005, ParallelText@ACL.

Spoken-Language Machine Translation in Limited Domains: Can it be Achieved by Finite-State Models? *

Enrique Vidal, Juan Miguel Vilar, Antonio Castellanos, 2006 .

PATTERN RECOGNITION APPROACHES FOR SPEECH-TO-SPEECH TRANSLATION

Francisco Casacuberta, Enrique Vidal, Juan Miguel Vilar, 2004, Cybern. Syst..

Finite-State Methods and Natural Language Processing

Josef van Genabith, Giorgio Satta, Tero Harju, 2005, Lecture Notes in Computer Science.

The EuTrans Spoken Language Translation System

Francisco Casacuberta, Enrique Vidal, Juan Miguel Vilar, 2004, Machine Translation.

Experiments Using MAR for Aligning Corpora

Juan Miguel Vilar, J. M. Vilar, 2005, ParallelText@ACL.

EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings

Juan Miguel Vilar, Andrés Marzal, Vicente Palazón, 2013, ICONIP.

A Syntactic Pattern Recognition Approach to Computer Assisted Translation

Francisco Casacuberta, Enrique Vidal, Jorge Civera, 2004, SSPR/SPR.

Finite State Language Models Smoothed Using n-Grams

Francisco Casacuberta, Juan Miguel Vilar, David Llorens, 2002, Int. J. Pattern Recognit. Artif. Intell..

Text and speech translation by means of subsequential transducers

Enrique Vidal, Juan Miguel Vilar, David Llorens, 1996, Nat. Lang. Eng..

Text speech translation by means of subsequential transducers

Enrique Vidal, Juan Miguel Vilar, David Llorens, 1999 .

Car License Plates Extraction and Recognition Based on Connected Components Analysis and HMM Decoding

Juan Miguel Vilar, Andrés Marzal, David Llorens, 2005, IbPRIA.

An input panel and recognition engine for on-line handwritten text recognition

Sergio Martín, Juan Miguel Vilar, Andrés Marzal, 2007, CCIA.

Reducing the Overhead of the AESA Metric-Space Nearest Neighbour Searching Algorithm

Juan Miguel Vilar, J. M. Vilar, 1995, Inf. Process. Lett..

Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries

Juan Miguel Vilar, J. M. Vilar, 2000, ICGI.

Incremental and iterative monolingual clustering algorithms

Juan Miguel Vilar, Sergio Barrachina, S. Barrachina, 2003, INTERSPEECH.

Statistical Approaches to Computer-Assisted Translation

Hermann Ney, Francisco Casacuberta, Shahram Khadivi, 2009, CL.

Computer-Assisted Translation using Finite-State Transducers

Francisco Casacuberta, Enrique Vidal, Jorge Civera, 2005, Proces. del Leng. Natural.

Architectures for Speech-to-Speech Translation Using Finite-state Models

Francisco Casacuberta, Enrique Vidal, Juan Miguel Vilar, 2002, Speech-to-Speech Translation@ACL.

A system for assisted transcription and annotation of ancient documents

Juan Miguel Vilar, María José Castro Bleda, Francisco Zamora-Martínez, 2017, CBMI.

A Flexible System for Document Processing and Text Transcription

Albert Gordo, Juan Miguel Vilar, Salvador España Boquera, 2009, CAEPIA.

State: A Multimodal Assisted Text-Transcription System for Ancient Documents

Albert Gordo, Juan Miguel Vilar, Andrés Marzal, 2008, 2008 The Eighth IAPR International Workshop on Document Analysis Systems.

Cyclic Linear Hidden Markov Models for Shape Classification

Juan Miguel Vilar, Andrés Marzal, Vicente Palazón, 2007, PSIVT.

The UJIpenchars Database: a Pen-Based Database of Isolated Handwritten Characters

Albert Gordo, Juan Miguel Vilar, Sergio Barrachina, 2008, LREC.

On hidden Markov models and cyclic strings for shape recognition

Juan Miguel Vilar, Andrés Marzal, Vicente Palazón, 2014, Pattern Recognit..

The ITI Statistical Machine Translation System

Francisco Casacuberta, Juan Miguel Vilar, J. Tom, 2006 .

Speech interaction in a multimodal tool for handwritten text transcription

Juan Miguel Vilar, Salvador España Boquera, María José Castro Bleda, 2011, ICMI '11.

Improving a DTW-Based Recognition Engine for On-line Handwritten Characters by Using MLPs

Juan Miguel Vilar, Salvador España Boquera, María José Castro Bleda, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Learning Extended Finite State Models for Language Translation 1

Enrique Vidal, Juan Miguel Vilar, Juan-Carlos Amengual, 1996 .

Finite-State Models for Computer Assisted Translation

Francisco Casacuberta, Enrique Vidal, Jorge Civera, 2004, ECAI.

Easily solving dynamic programming problems in Haskell by memoization of hylomorphisms

Juan Miguel Vilar, David Llorens, 2020, Softw. Pract. Exp..

Speech translation based on automatically trainable finite-state models

Hermann Ney, Francisco Casacuberta, Enrique Vidal, 1997, EUROSPEECH.

Learning language translation in limited domains using finite-state models: some extensions and improvements

Enrique Vidal, Juan Miguel Vilar, Andrés Marzal, 1995, EUROSPEECH.

A Novel Approach to Computer-Assisted Translation Based on Finite-State Transducers

Francisco Casacuberta, Enrique Vidal, Jorge Civera, 2005, FSMNLP.

Real-time minutiae extraction in fingerprint images

Juan Miguel Vilar, Juan-Carlos Amengual, Federico Prat, 1997 .

Automatic Discovery of Translation Collocations from Bilingual Corpora

Juan Miguel Vilar, Sergio Barrachina, S. Barrachina, 2004, ECAI.

Automatically deriving categories for translation

Juan Miguel Vilar, Sergio Barrachina, S. Barrachina, 1999, EUROSPEECH.

State,: an assisted document transcription system

Juan Miguel Vilar, Andrés Marzal, David Llorens, 2009, ICMI-MLMI '09.

Efficient computation of confidence intervals forword error rates

Juan Miguel Vilar, J. M. Vilar, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Query learning of subsequential transducers

Juan Miguel Vilar, 1996, ICGI.

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

Hermann Ney, Francisco Casacuberta, Juan Miguel Vilar, 2004, Comput. Speech Lang..