PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Found in Translation
Marco Turchi, Ilias Flaounas, omar ali, Tijl De Bie and Nello Cristianini
In: ECML/PKDD 2009 (Demo session), 7-11 Sep 2009, Bled.

Abstract

We present a complete working system that gathers multilingual news items from the Web, translates them into English, categorises them by topic and geographic location and presents them to the final user in a uniform way. Currently, the system crawls 560 news outlets, in 22 different languages, from the 27 European Union countries. Data gathering is based on RSS crawlers, machine translation on Moses and the text categorisation on SVMs. The system also presents on a European map statistical information about the amount of attention devoted to the various topics in each of the 27 EU countries. The integration of Support Vector Machines, Statistical Machine Translation, Web Technologies and Computer Graphics delivers a complete system where modern Statistical Machine Learning is used at multiple levels and is a crucial enabling part of the resulting functionality.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5930
Deposited By:Tijl De Bie
Deposited On:08 March 2010