“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-to-speech translation or text-to-text translation for limited domains fall within these kind of projects. Finite-state and statistical transducers are used as the basis of the machine translation systems. These models can be learnt automatically from real examples of translation. Some applications included (but are not limited to) translation of technical reports, hotel services, Speech interaction with mobile devices Speaker and domain adaptation Statistical dialogue annotation models Multimodal speech 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, borrowed from Speech Recognition, relies on character Hidden Markov Models, Finite State word models, and syntactic N-Grams. 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. Applications: Transcription of ancient and legacy [...]

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

Las actividades del grupo de Traducción Automática comenzaron hace algunos años con el uso de modelos de estados finitos para la traducción de voz a voz y la traducción de texto a texto en dominios limitados. Este grupo ha desarrollado una serie de modelos de traducción con sus correspondientes algoritmos de aprendizaje y una serie de prototipos para la traducción de voz y la traducción asistida por ordenador. Actualmente, el grupo [...]

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 [...]