Projects

A major obstacle for the acceptability of speech synthesis is its lack of expressivity. In order to convey emotions or other expressions appropriately, the sound of the synthetic voice would need to b

SProUT is a system for partial analysis of texts. It is used in particular – though not exclusively – for named entity recognition (NER) and opinion mining. The simple recognition of named entities in

MESH will apply multimedia analysis and reasoning tools, network agents and content management techniques to extract, compare and combine meaning from multiple multimedia sources, and produce advanced

The project RASCALLI aims at the development of responsive artificial situated cognitive agents that live and learn on the Internet (Rascalli). Rascalli represent a growing class of cooperative agents

K-Space is a network of leading research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for automatic and semi-automatic annotation

In the project HyLaP, hybrid language and information processing methods will be improved, adapted and applied to a novel personal information access and management application. The application will f

CARMEN aims to improve relationships between citizens, businesses and Local Authorities by deploying a modern back office operation that combines new multi-media channels as well as traditional access

The aim of SALSA II is to provide a large, frame-based lexicon for German, with rich semantic and syntactic properties, as a resource for linguistic and computational linguistic research, investigate

The objective of the project is to set up and populate an information portal with innovative functionalities that helps to promote RTD competencies in IST in the New Member States (NMS) and Associate

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