Topics

Automatic Speech Recognition and Understanding

Dion speechHuge amounts of audiovisual media are generated on a daily basis: parliamentary session, private meetings, TV and radio shows, public speeches, medical recordings, and many more. The magnitude of such quantity of information makes it impossible to be managed efficiently solely by human intervention. Automatic Speech Recognition and Understanding (ASRU) comes in handy when managing and indexing automatically such large amounts of audiovisual content.

Handwritten Text Recognition

Many documents used every day are handwritten documents, as for example, postal addresses, bank cheques, medical prescriptions, a big quantity of historical documents, an important part of the information gathered by forms, etc. In many cases it would be interesting to have these documents in digital form rather than paper based, in order to provide new ways to indexing, consulting and working with these documents.

Handwriting text recognition (HTR) can be defined as the ability of a computer to transform handwritten input represented in its spatial form of graphical marks into equivalent symbolic representation as ASCII text. Usually, this handwritten input comes from sources such as paper documents, photographs or electronic pens and touch-screens.

Interactive Natural Language Processing

KeyboardThe current state of the art in different areas of natural language processing (NLP) is very far from allowing fully automatic high quality results (HQRs), therefore human intervention is required to correct the output of the NLP engines. This applies specifically to NLP fields such as: machine translation and cross-language processing, text recognition, parsing, speech recognition, information retrieval, etc.

Its goal is to produce HQRs through a tight collaboration between a human operator and a NLP system, following an interactive-predictive paradigm. On the other hand, interactivity offers a unique context in which the feedback provided by the human can be used as new training data for adapting the NLP systems to new environments.