Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…

In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…

These proceedings contain the papers of the International Conference on Educational Technologies 2013 (ICEduTech 2013), which has been organised by the International Association for Development of the Information Society and co-organised by the Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Kuala Lumpur,…

A framework for describing relationships among the different linguistic systems in a bilingual or second language learner is proposed. The framework attempts to represent the ways in which knowledge of one language is used in integrating into memory new knowledge about another language. The model is partially implemented in a computer program that…