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Translation memories play a vital role in Computer-Aided Translation (CAT). Approaches to align sentences from parallel corpora are generally used to construct translation memories. In this paper, we present, on the one hand, a hybrid approach to align sentences combining different information sources (bilingual lexicon, sentence length and sentence position, semantic similarity), and on the other...
Healthcare organisations using the European Foundation for Quality Management (EFQM) Excellence Model for self-assessment have found an opportunity to work more effectively and a powerful driver for improvement. Nevertheless, when these organisations address self-assessment processes for the first time the initial effort needed presents many difficulties. The aim of this paper is to offer a consensus...
Situation awareness is a promising approach to recommend to a mobile user the most suitable resources for a specific situation. However, determining the correct user situation is not a simple task since users have different habits that may affect the way in which the situations arise. Thus, an appropriate tuning aimed at adapting the situation recognizer to the specific user is desirable to make a...
Classification in imbalanced domains has become one of the most relevant problems within the area of Machine Learning at the present. This problem has raised in significance due to its presence in many real applications and it occurs when the distribution of the available examples to carry out the learning process is very different between the classes (often for binary class data-sets). Usually, the...
Due to the huge product assortments and complex descriptions of mobile products/services, it is a great challenge for new customers to select appropriate products. To solve this issue, a fuzzy matching based recommendation approach for mobile products/services is proposed in this paper. In this approach, a new customer's requirements are obtained through asking a set of questions and represented by...
One of the most important features of fuzzy set theory is its potential for the modeling of natural language expressions. Most works done on this topic focus on some parts of natural language, mostly those that correspond to the so-called “evaluating linguistic expressions”. We build constraints for the mathematical substitutes of these expressions to mark characteristic limits on an ordered scale...
A novel solution is proposed to an important problem of learning real querying preferences and intentions from users who need to retrieve interesting information from a database but are not in a position to specify their information needs and/or intentions using a query language due to lack of knowledge and/or experience. A solution is proposed that is based on the presentation to the user of consecutive...
Context-aware computing is one of the attractive research topics in pervasive computing. Context-aware systems can react to users' preferences according to context including location, time and other environment conditions. Context is generated by context interpreters or aggregated by context aggregators from the signals of sensors. A traditional context interpreter is usually built as an executable...
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on which they are trained. In particular, they have not in general used information that records the effects of derivations, such as empty categories and the representation of displaced phrases, as is the case with passive, topicalization,...
In this contribution, we present a new application based on fuzzy linguistic information to evaluate the quality of digital libraries. The quality evaluation of digital libraries is defined using users' perceptions on the quality of digital services provided through their Web sites. We assume a fuzzy linguistic modeling to represent the users' perception and apply automatic tools of fuzzy computing...
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