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day are handwritten documents, as for example, postal addresses, bank cheques, medical prescriptions, a big quantity of historical documents, an important part of the information gathered by forms, etc.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.

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.

Statistical Machine Translation

Half of the EU citizens are not able to hold a conversation in a language other than their mother tongue, let alone to conduct a negotiation, or interpret a law. In a time of wide availability of communication technologies, language barriers are a serious bottleneck to European integration and to economic and cultural exchanges in general. More effective tools to overcome such barriers, in the form of software for machine translation and other cross-lingual textual information access tasks, are in strong demand.