We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Transformation systems such as Stratego/XT provide powerful analysis and transformation frameworks and concise languages for language processing, but instantiating them for every ...
Applying statistical parsers developed for English to languages with freer wordorder has turned out to be harder than expected. This paper investigates the adequacy of different s...
With the increasing interest in metamodeling techniques for Domain Specific Modeling Languages (DSML) definition, there is a strong need to improve the language modeling process. O...
Luis Pedro, Matteo Risoldi, Didier Buchs, Bruno Ba...
This paper describes the system submitted by Loquendo and Politecnico di Torino (LPT) for the 2009 NIST Language Recognition Evaluation. The system is a combination of classifiers...