Welcome to the
PRHLT RESEARCH CENTER
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 [...]
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.
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. [...]
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
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 [...]
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 [...]