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O'Brien, Myles – The EUROCALL Review, 2012
The Mango Suite is a set of three freely downloadable cross-platform authoring programs for flexible network-based CALL exercises. They are Adobe Air applications, so they can be used on Windows, Macintosh, or Linux computers, provided the freely-available Adobe Air has been installed on the computer. The exercises which the programs generate are…
Descriptors: Web Based Instruction, Computer Software, Error Correction, Feedback (Response)
Sachs, Rebecca Raewyn – ProQuest LLC, 2011
Second language acquisition research into the effects of corrective feedback has investigated a variety of learning targets using a wide range of implicit and explicit feedback types (Li, 2010). To date, however, its linguistic focus has been limited to theoretically noticeable surface features (Carroll, 2001; Schmidt, 2001), and researchers have…
Descriptors: Feedback (Response), Individual Differences, Second Language Learning, Error Correction
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Nagata, Noriko – CALICO Journal, 2009
This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…
Descriptors: Textbooks, Computer Assisted Instruction, Computer Software, Natural Language Processing
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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
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Li, Kai; Akahori, Kanji – CALICO Journal, 2008
This paper describes the development and evaluation of a handwritten correction support system with audio and playback strokes used to teach Japanese writing. The study examined whether audio and playback strokes have a positive effect on students using honorific expressions in Japanese writing. The results showed that error feedback with audio…
Descriptors: Feedback (Response), Writing Skills, Japanese, Error Correction
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Bradley, Linda, Ed.; Thouësny, Sylvie, Ed. – Research-publishing.net, 2012
For the first time, the annual conference of the European Association for Computer-Assisted Language Learning (EUROCALL) took place in Sweden. The conference took place at the Faculty of Education on historic ground on the old fortification walls of Carolus Dux from the 17th century right in the centre of the city. This year's host comprised the…
Descriptors: Second Language Instruction, Second Language Learning, Computer Assisted Instruction, Teaching Methods
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Yang, Jie Chi; Akahori, Kanji – Computer Assisted Language Learning, 1999
Compares two Web-based systems. The Japanese writing computer-assisted language-learning system, the T system, enables learners to key-in sentences freely, detects learners' errors and displays appropriate feedback messages to guide learners to correct errors themselves. The M system enables learners to input their answer from a multiple selection…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Error Correction, Feedback
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Ogata, Hiroaki; Yano, Yoneo; Wakita, Riko – Computer Assisted Language Learning, 1998
Describes an on-line mark-up-based composition learning environment system called CoCoA (Communicative Collection Assisting System). This system allows students and teachers to engage in marked-up documents via the Internet, and its environment is very similar to a real-world one in which people use pen and paper. CCML also facilitates teachers to…
Descriptors: Computer Assisted Instruction, Error Analysis (Language), Error Correction, Essays
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Nagata, Noriko; Swisher, M. Virginia – Foreign Language Annals, 1995
Investigates the effectiveness of two types of computer feedback: one is traditional computer feedback that indicates only missing or unexpected words in the learner's response, and the other is intelligent computer feedback that provides further information about the nature of the errors in the form of metalinguistic rules. (17 references)…
Descriptors: College Students, Comparative Analysis, Computer Assisted Instruction, Consciousness Raising
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Yang, Jie Chi; Akahori, Kanji – CALICO Journal, 1998
Describes development and evaluation of an error analysis procedure for a computer-assisted language learning program using natural language processing techniques. The program can be used for learning passive voice in Japanese on any World Wide Web browser. The program enables learners to type sentences freely, detects errors, and displays…
Descriptors: Computer Assisted Instruction, Computer Software, Computer Software Development, Error Analysis (Language)