Welcome to the


The Pattern Recognition and Human Language Technology (PRHLT) research center is composed by researchers from the Universitat Politècnica de València (UPV) in the areas of Multimodal Interaction, Pattern Recognition, Image Processing (Image Analysis, Computer Vision, Handwritten Text Recognition, Document Analysis) and Language Processing (Speech Recognition and Understanding, Machine Translation, Information Retrieval).

The PRHLT center is an active research entity with important ongoing research projects, technology transfer activities, and research publications.


Big data and deep learning

“Machine Learning is the new electricity” Deep Learning is a technique that belongs to the Machine Learning Field. Machine Learning techniques learns from data. Nowadays the amount of data grows exponentially year after year. Therefore machine learning techniques obtain a great potential to solve very complex problems. Big-data is the perfect partner and deep learning techniques are becoming a standard thanks to the hardware and software advances. In PRHLT we have [...]

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Speech processing and dialogue systems

Speech processing includes different applications, such like speech recognition and understanding, speech-to-speech translation, speech interaction with mobile devices, speaker and domain adaptation, and multimodal speech recognition. Dialogue systems related tasks are speech and multimodal based dialogue systems, statistical dialogue models, and automatic dialogue annotation.

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Handwritten Text Recognition

Both off-line (document images) and on-line HTR (tablet or e-pen signals) are considered. No prior character or word segmentation is needed. Technology relies on character-level optical models based on Convolutional-Recurrent Neural Networks and Hidden Markov Models, , along with Finite-State Lexical and N-Gram Language Models. After model training, for each given text line image, a holistic (“Viterbi”) search provides both an optimal transcription and the corresponding word and character segmentations. [...]

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Computer vision

General Statistical and Syntactic Pattern Recognition techniques for image analysis and recognition. Some applications: OCR and document analysis, medical diagnosis, biometric identification, image and video retrieval. Relevance-based Image Retrieval Biometrics

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Language translation

The activities of the Machine Translation group began some years ago with the use of finite-state models for speech-to-speech translation and for text-to-text translation in limited domains. This group has developped a number of translation models with the corresponding learning algorithms and a number of prototypes for speech translation and computer-assisted translation. Currently, the Machine Translation group is devoted to the development of new interactive-predictive techniques for computer-assisted translation, techniques for [...]

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Natural Language Processing

Social media data analysis: Author profiling, Stance detection, Deceptive opinion detection, Irony detection and sentiment analysis, Mixed-script text analysis, Plagiarism and social copying detection. Author profiling Given a text, what are the author’s traits? The focus is on inferring traits such as gender, age, native language, language variety, and personality on the basis of the stylistic analysis of the author’s texts. This is of interest for areas such [...]

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Current Projects

Misinformation and Miscommunication in social media: FAKE news and HATE speech (MISMIS-FAKEnHATE)

Although social media are the default channel used by people to share information, ideas and opinions, they may contribute paradoxically to the polarization of society as we have recently witnessed in the last presidential elections in the USA and in the Brexit referendum. Every user ends up receiving only the information that matches her personal beliefs and viewpoints, with the risk of an intellectual isolation (filter bubble), where beliefs may [...]

Duration: 1 January 2019 to 31 December 2021
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DeepHealth: Deep-Learning and HPC to Boost Biomedical Applications for Health

Health scientific discovery and innovation are expected to quickly move forward under the so-called “fourth paradigm of science”, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex biomedical datasets to support new and more efficient ways of [...]

Duration: 1 January 2019 to 31 December 2021
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HOME: History of Medieval Europe

Manuscripts are among the most important witnesses to our European shared cultural heritage and, while being increasingly digitized and published in large digital archives and libraries, they represent a valuable part of the European Digital Heritage. Its exploration, understanding, and dissemination of need new tools for promoting the community engagement with, and use of, heritage. Indeed, the wealth of information conveyed by the text captured in these images remains largely inaccessible, [...]

Duration: 1 September 2018 to 31 May 2021
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HisClima : Dos Siglos de Datos Climáticos

El objetivo del proyecto es crear una plataforma inteligente que permita extraer información de miles de entradas de cuadernos de bitácora manuscritos que contienen (en un periodo de doscientos años y un amplio rango geográfico), datos sobre condiciones climatológicas diarias que pueden ser de gran utilidad a investigadores del cambio climático.

Duration: 30 April 2019 to 30 April 2021
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Deep learning for adaptive and multimodal interaction in pattern recognition (DeepPattern)

Los sistemas de reconocimiento de formas (pattern recognition) y aprendizaje automático (machine learning) no están libres de errores en sus predicciones por lo que en muchos casos es necesario la interacción con el usuario. En el paradigma del reconocimiento de formas interactivo se aprovecha la realimentación multimodal proporcionada por el usuario en cada interacción con el sistema, tanto para mejorar las predicciones del sistema (interactividad predictiva) como para mejorar los [...]

Duration: 1 January 2019 to 31 December 2022
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Document Transcription with Interactive Ubiquitous Multimodal platforms (DocTIUM)

This project aims to make a step forward in the development of user centric intelligent tools for extracting knowledge from historical data. Starting from the recognition of historical document images and including the user in the loop through engaging experiences, we will develop the concept of the big data of the past. As use case driving the research, we will construct a browser of the memory of communities inspired in the [...]

Duration: 1 January 2019 to 31 December 2021
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SELENE: Self-monitored Dependable platform for Safety-Critical Systems

SELENE is aimed at proposing a new family of safety-critical computing platforms that builds upon open source components such as RISC-V cores, GNU/Linux, and Jailhouse hypervisor. SELENE will develop an advanced computing platform that is able to: adapt the system to the specific requirements of different application domains, to the changing environmental conditions, and to the internal conditions of the system itself allow the integration of applications of different criticalities [...]

Duration: 1 December 2019 to 30 November 2022
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Sistema Integral de Mantenimiento Eficiente de Pavimentos Urbanos (SIMEPU)

El proyecto “SISTEMA INTEGRAL DE MANTENIMIENTO EFICIENTE DE PAVIMENTOS URBANOS” (RTC-2017-6148-7) tiene como principal objetivo diseñar un sistema innovador de bajo coste para la gestión eficiente del mantenimiento de pavimentos urbanos. Este novedoso producto permitirá monitorizar y evaluar de forma automática las patologías del pavimento a partir de imágenes, a la vez que se optimizan y priorizan las actuaciones de mantenimiento bajo condicionantes económicos, sociales y medioambientales. Este proyecto ha [...]

Duration: 1 September 2018 to 31 July 2021
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Latest News

More news

Investigadores del centro PRHLT aparecen entre los más citados del planeta

Los investigadores fundadores del centro PRHLT, Enrique Vidal y Francisco Casacuberta aparecen entre los científicos más citados del planeta según el informe elaborado por John Ionnadis, Kevin Boyack y Jeroen Baas, [...]

Constitución de la spin-off Transkriptorium

El pasado 2 de diciembre de 2020 se constituyó en la Universitat Politècnica de València la spin-off Transkriptorium, formada principalmente por investigadores que han formado parte del centro [...]

El proyecto SIMEPU recibe el Premio Internacional a la Innovación en Carreteras Juan Antonio Fernández del Campo

El proyecto  “Sistema integral para el mantenimiento eficiente de pavimentos urbanos (SIMEPU)”, cuyo responsable en el centro PRHLT es Roberto Paredes, se ha alzado este 2020 con el [...]


PRHLT Research Center
Universitat Politècnica de València
Ciudad Politécnica la Innovación
Edif. 8B Acceso N Planta 0
Camí de Vera, s/n
46022 Valencia (VLC), Spain
(+34) 96 387 81 70