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Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
Smith, Bryan – CALICO Journal, 2009
This study explores the relationship between scrolling, negotiated interaction, and self-initiated self-repair (SISR) in a task-based synchronous computer-mediated communication (SCMC) foreign language learning environment. Pairs of adult learners of German engaged in four jigsaw tasks over the course of one university semester. Video screen…
Descriptors: Computer Mediated Communication, German, Second Language Learning, College Students
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)
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
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
De Felice, Rachele; Pulman, Stephen – CALICO Journal, 2009
In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove…
Descriptors: Language Patterns, Form Classes (Languages), Error Correction, Second Language Learning
Lee, Lina – CALICO Journal, 2010
Wikis, as one of the Web 2.0 social networking tools, have been increasingly integrated into second language (L2) instruction to promote collaborative writing. This paper reports on a case study involving 35 university students at the beginning level who contributed to wiki pages over a period of 14 weeks. The affordances and constraints of using…
Descriptors: Feedback (Response), Student Surveys, Collaborative Writing, Writing Processes
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

Burston, Jack – CALICO Journal, 1996
Four grammar checkers, all of French Canadian origin, were evaluated: "Le Correcteur 101,""GramR,""Hugo Plus," and "French Proofing Tools." Results indicate that "Le Correcteur 101" is the best French grammar checker on the market and worth its premium cost. (two references) (CK)
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Error Correction

Burston, Jack – CALICO Journal, 2001
Reports on a study of grammar checker usage that surveys the steps taken to successfully integrate it into the curriculum of an advanced level French course. Identifies the pedagogical limits of computer-based grammar checking, explores practical applications, measures short- and long-term effectiveness, and considers the role of self monitoring…
Descriptors: Advanced Students, Computer Assisted Instruction, Computer Software, Error Correction
Banados, Emerita – CALICO Journal, 2006
Faced with the need to teach English to a large number of students, the "Universidad de Concepcion," Chile, has created an innovative Communicative English Program using ICT, which is made up of four modules covered in four academic terms. The English program aims to develop integrated linguistic skills with a focus on learning for…
Descriptors: Feedback (Response), Curriculum, Computer Software, Foreign Countries
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

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)