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Dixon, Daniel H. – CALICO Journal, 2022
This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…
Descriptors: Language Usage, Computer Games, Second Language Learning, Second Language Instruction
Wood, Peter – CALICO Journal, 2011
"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,…
Descriptors: Foreign Countries, Educational Technology, German, Natural Language Processing
Cotos, Elena – CALICO Journal, 2011
This paper presents an empirical evaluation of automated writing evaluation (AWE) feedback used for L2 academic writing teaching and learning. It introduces the Intelligent Academic Discourse Evaluator (IADE), a new web-based AWE program that analyzes the introduction section to research articles and generates immediate, individualized, and…
Descriptors: Evidence, Feedback (Response), Academic Discourse, Writing (Composition)
Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
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…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
Gamon, Michael; Leacock, Claudia; Brockett, Chris; Dolan, William B.; Gao, Jianfeng; Belenko, Dmitriy; Klementiev, Alexandre – CALICO Journal, 2009
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…
Descriptors: English (Second Language), Error Correction, Second Language Learning, Computer Assisted Instruction
Dickinson, Markus; Lee, Chong Min – CALICO Journal, 2009
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…
Descriptors: Grammar, Language Processing, Computational Linguistics, Second Language Learning

Brand, James – CALICO Journal, 1987
Describes the language learning program "Acquire," which is a sample of grammar induction. It is a learning algorithm based on a pattern-matching scheme, using both a positive and negative network to reduce overgeneration. Language learning programs may be useful as tutorials for learning the syntax of a foreign language. (Author/LMO)
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software
Rimrott, Anne; Heift, Trude – CALICO Journal, 2005
This paper presents a study in which we examined spelling mistakes made by 34 learners of German in an online CALL exercise. We analyzed a total of 374 spelling errors that occurred in 341 words and subsequently classified them along four dimensions: (a) competence versus performance, (b) linguistic subsystem, (c) language influence, and (d)…
Descriptors: Spelling, Program Effectiveness, Error Correction, Computer Assisted Instruction
Fuentes, Alejandro Curado – CALICO Journal, 2004
This paper describes a method in oral fluency evaluation for Tourism English according to a corpus-based lexical approach. Our main research focus is placed on measuring oral skill competence among Tourism English (TE) learners by contrasting their word use and linguistic fluency, achieved in two types of oral tasks, with corpus data frequencies.…
Descriptors: Business Administration Education, Tourism, Evaluation Methods, Foreign Countries
Rilling, Sarah; Dahlman, Anne; Dodson, Sarah; Boyles, Claire; Pazvant, Ozlem – CALICO Journal, 2005
This paper integrates the theory and practice of computer pedagogies in a variety of language courses, all stemming from participation in a graduate level course on computers in language teaching. First, the graduate level preservice CALL course is described, focusing on how connections between theory and practice were developed. Descriptions of…
Descriptors: Preservice Teacher Education, Preservice Teachers, Distance Education, Computer Simulation