'The project aims to boost growth in Europe through tourism architecture. The two tourism models, hotels and resorts, most implemented on the European coastline will be studied from innovation, integration and sustainability perspectives. A new architecture model based on customer and staff experience will develop more intelligent, competitive and sustainable opportunity elements.
Main project objectives:
1.Analysis, assessment and evolution of different types of tourism coastal architecture and transformation and repositioning processes for more competitive and sustainable tourism models.
2.Strategies for the creation and/or renovation of the tourism architecture based on an intelligent, sustainable and competitive European model.
3.Instruments for public institutions and SMEs to promote integrated governance towards more sustainable and intelligent tourism models, within the framework of European policies.
In order to achieve these objectives the following issues will be studied: a.Techniques and material design for green facades and comfort-improving technology services; b.Environment, public space and SMEs integration into change processes; c.Indicators and systems that reduce ecological footprint and environmental impact. For that, design analysis and architecture/urban simulation tools and technologies, geographical information systems, field operation techniques, qualitative and quantitative interviews will be used and statistical data will be produced.
The results will contribute to the transfer of methods and architecture techniques between outgoing and return institutions. The Research Associate position as offered by the institution will enable the researcher to extend his work with hospitality industry institutions and leaders in research projects.'
'Machine Translation (MT) is a highly interdisciplinary and multidisciplinary field since it is approached from the point of view of engineering, computer science, informatics, statistics and linguists. Unfortunately, the cooperation and interaction among these fields in relation to MT technologies is still very low. The goal of this research project is to approach the different profiles in the MT community by providing a new integrated MT paradigm which mainly includes linguistic technologies and statistical algorithms.
Basically, our research will be focused on the problem of dynamically integrating the two most popular MT paradigms: the rule-based and the statistical-based. We will use linguistic technologies developed either for the rule-based MT systems or other natural language processing tasks into statistical MT systems. Linguistic technologies include: bilingual dictionaries, transfer rules, statistical parsing, word sense disambiguation, morphological and syntactic analysis. The new paradigm will provide solutions to current MT challenges such as unknown words, reordering and semantic ambiguities.
The project will focus on the three most spoken languages in the world: Chinese, Spanish and English; and all translation combinations among them. These language pairs do not only involve many economical and cultural interests, but they also include some of the most relevant MT challenges such as morphological, syntactic and semantic variations.'