We present an automatic semantic annotation system for Korean based on the Contextual Exploration Method. Creating a morphological analyzer and part-of-speech tagger for the Korean language is difficult as it is a highly agglutinative language. Accordingly, processing Korean in the same order as inflectional languages-morphological analysis, then syntactical and then semantic-has not yielded satisfactory results. Our new method identifies semantic information in Korean text without going through the morphological and syntactical analysis steps. Our initial system properly annotates approximately 88% of standard Korean sentences, and this annotation rate holds across text domains. Previously, the Contextual Exploration Method has been applied successfully to languages as diverse as French and Arabic. Given our success with Korean, we believe that this method can be applied to other agglutinative languages such as Japanese, Turkish and Finnish.
In the radically changing framework of education and training, the E-studium project (http://e-studium.unipg.it) developed at the University of Perugia, proposes a dynamic and versatile education system, managing effectively the learning process and using new ICT technologies to respond individually to the needs of a wide audience of students disseminated in the country.
The organization model is an integrated e-learning system, known as blended e-learning (realized through the course management system Moodle), aiming at a renewal of academic education with a focus on quality of teaching, on support of in-class teaching by on-line services and materials, allowing better use and participation by both full-time and part-time students.Beside students, also academic teachers work as experimental subjects for the technologies implemented. In this work the "E-studium" project is presented showing the different phases of development, implementation and analysis of results including usage.
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