Barcelona May 13, 2009 Venue: Aula Teleensenyament (Tele-teaching room) in building B3 of the Campus Nord of the UPC
A joint event of SMART project - PASCAL Network jointly-located with EAMT-2009
Co-organizers: Marco Turchi, Nello Cristianini, Xavier Carreras, Tijl de Bie
The aim of this workshop is to disseminate scientific results produced by the SMART project to the larger technical and scientific community working on Machine Translation. To facilitate this inter-exchange, it will be co-located with the EAMT 2009 - 13th Annual Conference of the European Association for Machine Translation that will be held May 14-15, 2009 Universitat Politècnica de Catalunya, Barcelona, Spain.
Conference web site: http://www.talp.cat/eamt09
Workshops page: http://www.talp.cat/eamt09/index.php/associated-workshops
9.30 - 10.00 Welcome, Nicola Cancedda, Xerox Research Centre Europe
10.00 - 11.00 Invited Talk: "Empirical Machine Translation and its Evaluation" - Jesus Gimenez, UPC
11.00 - 11.30 Coffee
11.30 - 12.00 - "Online learning for CAT applications" - Nicolo` Cesa-Bianchi, University of Milan
12.00 - 12.30 - "Sinuhe -- Statistical Machine Translation with a Globally Trained Conditional Exponential Family Translation Model" - Matti T Kaariainen, University of Helsinki
12.30 - 1300 - "Large scale, maximum margin regression based, structural learning approach to phrase translations" - Sandor Szedmak, University of Southampton
14.00 - 14.30 "Learning to Translate: statistical and computational analysis" - Marco Turchi, University of Bristol
14.30 - 15.00 -"Detecting and exploiting Translation Direction" - Cyril Goutte, National Research Council - Canada
15.00 - 15.30 - "Multi-view CCA and regression CCA" - Blaz Fortuna, Jo¾ef Stefan Institute
16.00 - 16.30 - "Large-Margin Structured Prediction via Linear Programming" - Zhuoran Wang, University College London
16.30 - 17.00 - "Confidence Estimation for Machine Translation" - Lucia Specia, Xerox Research Centre Europe
17.00 Closing Remarks
ABOUT THIS WORKSHOP
A joint event of SMART project - PASCAL Network
SMART (Statistical Multilingual Analysis for Retrieval and Translation, www.smart-project.eu) is a 3-year "Specific Target Research Project" (STReP) funded by the European Commission. SMART is an attempt to address different problems of Machine Translation and Cross-Language Information Retrieval by the methods of modern Statistical Learning.
In the first two years of the project, the scientific focus has been on developing new and more effective statistical approaches while ensuring that existing know-how is duly taken into account. This was done by bringing together leading research institutions in Statistical Learning, Machine Translation and Textual Information Access.
PASCAL 2 (Pattern Analysis, Statistical Modelling and Computational Learning 2) is a 5-year "Network of Excellence" (NoE) funded by the European Commission, focusing on Machine Learning, Statistics and Optimization.
The aim of this workshop is to disseminate scientific results and share experiences produced by the SMART project to the larger technical and scientific community. The SMART consortium considers this workshop to be a great opportunity for science investigations, creating both scientific and commercial opportunities as well as technological challenges to researchers.