When building Hypermedia/Web Applications, (different) designers are often faced with the same problems over and over again. Those recurring problems soon yield elegant solutions, which can be conveniently described as design patterns. In this paper we present two patterns for…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

This paper describes a new method for cross-lingual textual entailment (CLTE) detection based on machine translation (MT). We use sub-segment translations from different MT systems available online as a source of cross-lingual knowledge. In this work we describe and evaluate…

Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the…

Los sistemas de búsqueda de respuestas (BR) se pueden considerar como potenciales sucesores de los buscadores tradicionales de información en la Web. Para que sean precisos deben adaptarse a dominios concretos mediante el uso de recursos semánticos adecuados. La adaptación…

Presentation of existing curricula connected with usability and accessibility at the University of Alicante for the Leonardo da Vinci project "GUI Usability and Accessibility: Exchanging Knowledge and Experiences" (Grenoble, France, 27 November 2012)., Presentación del currículo actual relacionado con la…

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

Tesis doctoral en Informática realizada por Montse Cuadros y dirigida por Dr. Lluís Padró y Dr. German Rigau. La defensa de la tesis fue en la facultad de Informática de la Universitat Politècnica de Catalunya el día 22 de noviembre…