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…

Conceptual replication within a computer-assisted language learning (CALL) environment provides an understanding of the generalizability of second language acquisition (SLA) research (Porte, 2013; Smith & Schulze, 2013). The present study replicates Collentine (1998a), a classroom-based experiment framed within a larger discussion on the…

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…

This paper defines the structure of a semantic network for use in representing discourse and lexical meanings. The structure is designed to represent underlying semantic meanings that, with a lexicon and a grammar, can generate natural-language sentences in a linguistically justifiable manner. The semantics of natural English can be defined as a…

The system described in this report is designed for use as a computational tool that allows a linguist to develop and study methods for generating surface strings from an underlying semantic structure. Initial findings with regard to form-determiners (such as voice, form, tense, and mood), some rules for embedding sentences, and some attention to…