A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…

Taken together, the Coherence Principle of Multimedia Learning Theory and the Integrated Systems Hypothesis propose that co-occurring and semantically congruent verbal and visual information should be integrated into one mental representation that enhances memory. The purpose of this paper was to examine how learning pseudowords with matching…

Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…

This paper reports on the development of an analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, the analyzer categorizes every sentence in…

In our study we investigated second and foreign language (L2) sentence readability, an area little explored so far in the case of several languages, including Swedish. The outcome of our research consists of two methods for sentence selection from native language corpora based on Natural Language Processing (NLP) and machine learning (ML)…

Input exposure is essential for nonprimary language learning, but the importance of explicit instruction and corrective feedback continues to be debated. If instruction is required, how might it be optimized in terms of its nature and timing? In this study, 65 Spanish-English bilinguals were introduced to Latin through an interactive computer…

The present study reports the findings of an experiment on the effects of explicit information on the learning of German case markings. Fifty-nine learners of first- and second-year German received computer-based processing instruction on German accusative case marking and word order. These learners were divided into two groups: one received…

This article reports on the findings obtained from an exploratory study on the effectiveness of feedback in a computer-based learning environment. The main aim of the study was to gain insight into learning outcomes and student perceptions in relation to different types of feedback. This aim was operationalised in terms of an investigation amongst…

We built an NLP system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary texts produced by pupils…

We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…

This paper addresses the comprehension of relative clauses in audio prompts using online listening exercises implemented in a classroom. Reaction time to short and long sentences containing subject and object relative clauses was assessed in subjects attending an intensive ESL course for graduate students. The results indicate the possibility that…

This paper presents three studies which examine the susceptibility of sentence comprehension to intrusion by extra-sentential probe words in two on-line dual-task techniques commonly used to study sentence processing: the cross-modal lexical priming paradigm and the unimodal all-visual lexical priming paradigm. It provides both a general review…

Based on the statistical regularity of certain error types, an interlanguage grammar could be devised and applied to develop an intelligent computer tool, capable not only of identifying the typical errors in L2 student writing, but also of making adequate corrections. The purpose of the corrections is to make the student aware of the language…

This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…