Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Computer Software | 5 |
Error Analysis (Language) | 5 |
Natural Language Processing | 5 |
Second Language Learning | 5 |
Computer Assisted Instruction | 4 |
Error Correction | 4 |
Second Language Instruction | 4 |
Computational Linguistics | 2 |
English (Second Language) | 2 |
Feedback (Response) | 2 |
Grammar | 2 |
More ▼ |
Author
Chukharev-Hudilainen, Evgeny | 2 |
Akahori, Kanji | 1 |
Amaral, Luiz A. | 1 |
Meurers, W. Detmar | 1 |
Nagata, Noriko | 1 |
Ockey, Gary J. | 1 |
Saricaoglu, Aysel | 1 |
Yang, Jie Chi | 1 |
Publication Type
Journal Articles | 5 |
Reports - Descriptive | 2 |
Reports - Research | 2 |
Opinion Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Iowa | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Chukharev-Hudilainen, Evgeny; Ockey, Gary J. – ETS Research Report Series, 2021
This paper describes the development and evaluation of Interaction Competence Elicitor (ICE), a spoken dialog system (SDS) for the delivery of a paired oral discussion task in the context of language assessment. The purpose of ICE is to sustain a topic-specific conversation with a test taker in order to elicit discourse that can be later judged to…
Descriptors: Intercultural Communication, Oral Language, Communicative Competence (Languages), Error Analysis (Language)
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
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

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)