In recent years, Bayesian models have become increasingly popular as a way of understanding human cognition. Ideal learner Bayesian models assume that cognition can be usefully understood as optimal behavior under uncertainty, a hypothesis that has been supported by a number of modeling studies across various domains (e.g., Griffiths and Tenenbaum, Cognitive Psychology, 51, 354–384, 2005; Xu an...

Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to the automatic acquisition of verb subcategorization frames for Modern Greek. We have made use of minimal linguistic resources, such as basic morphological tagging and phrase chunking, to demonstrate that verb subcategorizati...

The present study analyses the errors identified in the written argumentative texts of 304 Spanish university students of English taken from two different corpora –one from a technical university context and the other from learners enrolled in the Humanities. Considered an important design criterion for computer learner corpora studies, the metadata of the students’ was recorded and their compe...

This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support...

Learner preferences of students have been analysed within two modules that have been given in the department of media using Röll’s learner preference model. A qualitative analysis of the results of an online learner preference test based on this model has been conducted. This analysis showed that for the majority of the students the revealed results were valid. Starting from current methods use...

Abstract Academic attribution, the direct acknowledgement of external sources, is investigated in two corpora novice academic English, representing first and second language writing linguistics. The forms uses attribution are analysed a formal-functional framework. There an overall underrepresentation learner corpus. However, have similar proportional distribution integral non-integral but diff...

Lexical bundles studies are still limited in relation to the use of verb phrase-based bundles, specifically passive forms academic writing. This study reveals lexico-grammatical patterns and functional categories 409,373-word Malaysian Polytechnics Electronic Engineering Learner Corpus (MyPolyEELC) comparison British Academic Written English (BAWE) 29,530-word sub-corpus. The Sketch Engine lexi...

Many studies have confirmed the belief that a stay abroad (SA) is beneficial for second language (L2) development. However, substantial variation in learning outcomes has long been acknowledged. Research identified range of factors explain variability target-language few focused on linguistic characteristics overall L2 input available to SA participants. In this study, we examine role situation...

The potential applications of electronic corpora in language teaching and learning have received considerable attention in recent years, but their direct application to the classroom has not become part of mainstream practice. Indeed, the majority of published research in data-driven learning (DDL) focuses only on advanced learners using sophisticated equipment for complex language points. But ...

In order to develop effective computerassisted language teaching systems for learners of English as a foreign language, it is first necessary to identify gaps between learners and native speakers in the four basic linguistic skills (reading, writing, pronunciation, and listening). To identify these gaps, the accuracy and fluency in language use between learners and native speakers should be com...