发明名称 SYSTEM AND METHOD FOR THE RELEVANCE-BASED CATEGORIZING AND NEAR-TIME LEARNING OF WORDS
摘要 A system and a method for timely learning of words and word units is provided, wherein annotations for the words and word units are offered and displayed in exact page synchronism with the source medium and the annotations can be selected by the user when reading the source medium. An author module provides a marking editor, which makes it possible to mark words and word units as annotations in synchronism with the display of the source medium and an annotation editor, which makes it possible to specify word basic data and meta data for the annotations. A database stores an annotation master data record for each annotation comprising word basic data and meta data. When reading a selected medium, a reading module displays a preset number of annotations in exact page synchronism with the display of the medium and allows the user-specific marking of an annotation, wherein the marked annotation is stored in a user-specific annotation data record of the database. This allows a reader, when reading and marking words to be learned, to instantly retrieve them for specific intensive training
申请公布号 EP2599075(A1) 申请公布日期 2013.06.05
申请号 EP20110763840 申请日期 2011.08.19
申请人 BELINGOO MEDIA GROUP S.A. 发明人 LANDWEHR, ERIK
分类号 G09B19/00;G09B5/06 主分类号 G09B19/00
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