Samuel Cruz-Lara


Synalp-Empathic: A Valence Shifting Hybrid System for Sentiment Analysis
Alexandre Denis | Samuel Cruz-Lara | Nadia Bellalem | Lotfi Bellalem
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)


MLIF : A Metamodel to Represent and Exchange Multilingual Textual Information
Samuel Cruz-Lara | Gil Francopoulo | Laurent Romary | Nasredine Semmar
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

The fast evolution of language technology has produced pressing needs in standardization. The multiplicity of language resources representation levels and the specialization of these representations make difficult the interaction between linguistic resources and components manipulating these resources. In this paper, we describe the MultiLingual Information Framework (MLIF ― ISO CD 24616). MLIF is a metamodel which allows the representation and the exchange of multilingual textual information. This generic metamodel is designed to provide a common platform for all the tools developed around the existing multilingual data exchange formats. This platform provides, on the one hand, a set of generic data categories for various application domains, and on the other hand, strategies for the interoperability with existing standards. The objective is to reach a better convergence between heterogeneous standardisation activities that are taking place in the domain of data modeling (XML; W3C), text management (TEI; TEIC), multilingual information (TMX-LISA; XLIFF-OASIS) and multimedia (SMILText; W3C). This is a work in progress within ISO-TC37 in order to define a new ISO standard.


Interoperability Between Translation Memories and Localization Tools by Using the MultiLingual Information Framework
Samuel Cruz-Lara | Nadia Bellalem | Julien Ducret | Isabella Kramer
Proceedings of the 11th Annual conference of the European Association for Machine Translation