NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)3
Since 2006 (last 20 years)10
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cotos, Elena; Pendar, Nick – CALICO Journal, 2016
This paper reports on the development of an analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, the analyzer categorizes every sentence in…
Descriptors: Discourse Analysis, Classification, Rhetoric, Writing Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Caropreso, Maria Fernanda; Inkpen, Diana; Keshtkar, Fazel; Khan, Shahzad – Journal of Interactive Learning Research, 2012
Natural Language Generation (NLG) systems can make data accessible in an easily digestible textual form; but using such systems requires sophisticated linguistic and sometimes even programming knowledge. We have designed and implemented an environment for creating and modifying NLG templates that requires no programming knowledge, and can operate…
Descriptors: Natural Language Processing, Computer Simulation, Computer System Design, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Liu, Sze-Chu; Hung, Po-Yi – Universal Journal of Educational Research, 2016
The purpose of this study is to evaluate the effectiveness of computer assisted pronunciation instruction in English pronunciation for students in vocational colleges and universities in Taiwan. The participants were fifty-one first-year undergraduate students from a technological university located in central Taiwan. The participants received an…
Descriptors: Pronunciation Instruction, Pronunciation, Computer Assisted Instruction, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Ditcharoen, Nadh; Naruedomkul, Kanlaya; Cercone, Nick – Computers & Education, 2010
Learning a second language is very difficult, especially, for the disabled; the disability may be a barrier to learn and to utilize information written in text form. We present the SignMT, Thai sign to Thai machine translation system, which is able to translate from Thai sign language into Thai text. In the translation process, SignMT takes into…
Descriptors: Sentences, Semantics, Syntax, Translation
Peer reviewed Peer reviewed
Direct linkDirect link
Gogoulou, A.; Gouli, E.; Grigoriadou, M. – Journal of Computer Assisted Learning, 2008
In this paper, we present a synchronous text-based communication tool, referred to as Adaptive Communication Tool (ACT), which provides capabilities for adaptation and personalization. ACT supports both the free and the structured form of dialogue. The structured dialogue is implemented by two types of Scaffolding Sentence Templates (SST); i.e.…
Descriptors: Sentences, Computer Mediated Communication, Formative Evaluation, Dialogs (Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Franco, Horacio; Bratt, Harry; Rossier, Romain; Rao Gadde, Venkata; Shriberg, Elizabeth; Abrash, Victor; Precoda, Kristin – Language Testing, 2010
SRI International's EduSpeak[R] system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology. Automatic pronunciation scoring allows the computer to provide feedback on the overall quality of pronunciation and to point to…
Descriptors: Feedback (Response), Sentences, Oral Language, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Clariana, Roy B.; Wallace, Patricia E.; Godshalk, Veronica M. – Educational Technology Research and Development, 2009
Essays are an important measure of complex learning, but pronouns can confound an author's intended meaning for both readers and text analysis software. This descriptive investigation considers the effect of pronouns on a computer-based text analysis approach, "ALA-Reader," which uses students' essays as the data source for deriving individual and…
Descriptors: Sentences, Cognitive Structures, Essays, Content Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, In-Seok – Educational Technology & Society, 2006
This study examines the reliability of automatic speech recognition (ASR) software used to teach English pronunciation, focusing on one particular piece of software, "FluSpeak, as a typical example." Thirty-six Korean English as a Foreign Language (EFL) college students participated in an experiment in which they listened to 15 sentences…
Descriptors: Sentences, Pronunciation, Computer Software, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Clariana, Roy B.; Wallace, Patricia – Journal of Educational Computing Research, 2007
This proof-of-concept investigation describes a computer-based approach for deriving the knowledge structure of individuals and of groups from their written essays, and considers the convergent criterion-related validity of the computer-based scores relative to human rater essay scores and multiple-choice test scores. After completing a…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Construct Validity, Cognitive Structures