Robert Wyatt

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Speech samples of 131 subjects with complete unilateral clefts of the lip and palate from six European cleft palate centres were analysed and assessed using a specifically designed phonetic framework. This framework focused on consonants that are "vulnerable" in speech associated with cleft palate and common to the five languages of the project. The(More)
In this review, normal speech and its development is described and compared with the patterns typical of cleft palate speech. Attention is drawn to the importance of measuring and analysing these factors adequately for research and audit purposes, and the need for agreed parameters for reporting outcomes.
For some theorists, talk about politics is infrequent, difficult, divisive, and, to be efficacious, must proceed according to special rules in protected spaces. We, however, examined ordinary political conversation in common spaces, asking Americans how freely and how often they talked about 9 political and personal topics at home, work, civic(More)
Several semantic based user profile approaches have been introduced in the literature to learn the users' interests for per-sonalized search. However, many of them are ill-suited to cope with a domain of information that evolves and user interests that may change over time. In this paper, we propose a novel dual representation of a user's semantic profile(More)
This paper introduces a multi-model ontology-based framework for semantic search of educational content in E-learning repository of courses, lectures, multimedia resources, etc. This hybrid recommender system is driven by two types of recommendations: content-based (domain ontology model) and rule-based (learner’s interest-based and cluster-based).(More)
The Semantic Web has been evolved as a key technology, bringing new insights and solutions to well documented problems in E-learning. The research field of Semantic E-learning covers a wide range of research problems. In this paper, we present an approach to visualize an ontology driven information retrieval system in the context of E-learning. This(More)
In this paper, we describe an integrated and working Elearning search system for retrieving personalized semantically enriched learning resources. Within this context, this work proposes an architecture divided into four layers: (1) Semantic Representation (knowledge representation), (2) Algorithms, which are the core engine of this study, (3)(More)
In this paper, we exploit the synergies between Information Retrieval and E-learning by describing the design of a system that uses "Information Retrieval" in the context of the Web and "E-learning". With the exponential growth of the web, we noticed that the "general-purpose" of web applications started to diminish and more domain-specific or personal(More)