Big Data and Deep Learning

Big Data and Deep Learning

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...
Speech Processing and Dialogue Systems

Speech Processing and Dialogue Systems

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...
Handwritten Text Recognition

Handwritten Text Recognition

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...
Computer Vision

Computer Vision

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...
Language Translation

Language Translation

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 developed a number of translation models...
Natural Language Processing

Natural Language Processing

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,...