The use of educational technologies to teach a second language (L2) in general, and L2 vocabulary in particular, has mass appeal among computer-assisted language learning (CALL) practitioners. The main objective of the present study is to report the challenges and affordances of technologies used for computer-assisted vocabulary learning (CAVL),…

Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…

In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…

Second language learners are faced with the challenging task of remembering many new words. Exactly how learners are supposed to accomplish that task is disputed. Research on lexical processing that has been carried out in cognitive psychology showed that rehearsing words in expanded patterns, that is, with a delay between each rehearsal, leads to…

This study compares the effectiveness of online textual glosses enhanced with modified corpus-extracted sentences presented in concordance lines and textual glosses enhanced with dictionary definitions drawn from an online learner's dictionary for academic vocabulary learning at higher proficiency levels. Particularly, the study aimed to determine…

In this study, we focus on particle errors and discuss an annotation scheme for Korean learner corpora that can be used to extract heuristic patterns of particle errors efficiently. We investigate different properties of particle errors so that they can be later used to identify learner errors automatically, and we provide resourceful annotation…

Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…

"QuickAssist," the program presented in this paper, uses natural language processing (NLP) technologies. It places a range of NLP tools at the disposal of learners, intended to enable them to independently read and comprehend a German text of their choice while they extend their vocabulary, learn about different uses of particular words,…

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…

A crucial question for automatically analyzing learner language is to determine which grammatical information is relevant and useful for learner feedback. Based on knowledge about how learner language varies in its grammatical properties, we propose a framework for reusing analyses found in corpus annotation and illustrate its applicability to…

This work reports on the construction of a rated database of spontaneous speech produced by second language (L2) learners of English. Spontaneous speech was collected from 28 L2 speakers representing six language backgrounds and five different proficiency levels. Speech was elicited using formats similar to that of the TOEFL iBT and the Speaking…

The application of techniques from artificial intelligence (AI) to CALL has commonly been referred to as intelligent CALL (ICALL). ICALL is only slightly older than the "CALICO Journal", and this paper looks back at a quarter century of published research mainly in North America and by North American scholars. This "inventory…

Research articles (RAs) have been recognized as a distinct genre in the English-using discourse community because of their unique writing conventions. Despite the great number of studies on the analysis of the textual or phrasal aspects of abstracts of RAs, few have been transformed into actual teaching materials for EFL graduate students. The…

Despite the problems presented by lexical errors in second language (L2) communication, most computer assisted language learning (CALL) programs tend to focus on the acquisition of grammar points rather than on the development of the L2 lexicon. In addition, CALL vocabulary tasks are typically limited in scope and mechanical in nature, covering…

Gives a short grammar of the Lisp computer language. Presents an introductory English parser (Simparse) as an example of how to write a parser in Lisp. Lists references for further explanation. Intended as preparation for teachers who may use computer-assisted language instruction in the future. (LMO)