Organisation du Comite des tremblements de terre

International audienc

MULINEX: Multilingual Web Search and Navigation

MULINEX is a multilingual search engine for the WWW. During the phase of document gathering, the system extracts information about documents by making use of language identification, thematic classification and automatic summarisation. In the search phase, the users' query terms are translated in order to enable search in different languages. Search results are presented with a summary and information about the language and thematic categories to which the document belongs. Summaries and documents are translated on demand by making use of the LOGOS machine translation system. The system is to be deployed in the online services of Bertelsmann Telemedia and Grolier Interactive Europe, and supports French, German and English. The current MULINEX prototype is the first system for translingual information access integrating retrieval, summarisation and translation. Keywords translingual information retrieval, categorisation, summarisation, language identification, q..

The use of artificial intelligence for sign language recognition in education: from a literature overview to the ISENSE project

Common strategies to guarantee the inclusion of d/Deaf students in university are still absent. Recent studies have demonstrated how innovative technologies, such as artificial intelligence and virtual/augmented reality, could be applied to solve this issue. This paper aims at providing an overview of the AI-based algorithms for sign language recognition, as well as the description of the project ISENSE. As concerning the AI application, the already implemented procedures are generally based on three steps, starting from sign language capture to sign language translation, passing through sign language recognition. The state-of-the art for each step has been reported, highlighting the most widespread solutions and the related pros and cons. Focusing on ISENSE, the project aims at implementing services and tools based on artificial intelligence and immersive technologies for deaf students at university. The project framework has been introduced, reporting both the main outcomes and the operating steps