Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Sentence-level aligned parallel texts are important resources for a number of natural language processing (NLP) tasks and applications such as statistical machine translation and ...
A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
In this paper, we investigate the use of bilingual parsing on parallel corpora to better estimate the rule parameters in a formal syntax-based machine translation system, which ar...
Abstract. Based on the plethora of proposals and standards for logic- and rulebased reasoning for the Semantic Web (SW), a key factor for the success of SW agents is interoperabili...
Kalliopi Kravari, Efstratios Kontopoulos, Nick Bas...