Publication Date
In 2025 | 2 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Cognitive Science | 1 |
Journal of Educators Online | 1 |
Language Assessment Quarterly | 1 |
Language Sciences | 1 |
Author
Baker, Eva | 1 |
Dong-Ok Won | 1 |
Edelman, Shimon | 1 |
Fox, Barbara A. | 1 |
Ho-Jung Kim | 1 |
Isaiah WonHo Yoo | 1 |
Kolodny, Oren | 1 |
Lotem, Arnon | 1 |
Matthiessen, Christian | 1 |
Noboru Sakai | 1 |
Yu Kyoung Shin | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 3 |
Information Analyses | 2 |
Guides - Non-Classroom | 1 |
Opinion Papers | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 1 |
Location
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English for… | 1 |
What Works Clearinghouse Rating
Noboru Sakai – Journal of Educators Online, 2025
This study aims to investigate ChatGPT's ability to comprehend input from nonnative speakers, specifically those learning English as a second language, with Japanese speakers serving as the model population. The experiment examines how ChatGPT evaluates the difficulty levels of the Test of English for International Communication (TOEIC), which is…
Descriptors: Foreign Countries, Artificial Intelligence, Native Speakers, English (Second Language)
Dong-Ok Won; Yu Kyoung Shin; Ho-Jung Kim; Isaiah WonHo Yoo – Language Assessment Quarterly, 2025
Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…
Descriptors: Artificial Intelligence, Computer Software, Phrase Structure, Native Language
Kolodny, Oren; Lotem, Arnon; Edelman, Shimon – Cognitive Science, 2015
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…
Descriptors: Grammar, Natural Language Processing, Computer Mediated Communication, Graphs

Fox, Barbara A. – Language Sciences, 1994
The goal of this paper is to explore the ramifications of a nontraditional view of cognition and social interaction for the study of grammatical structure. (Contains 77 references.) (JL)
Descriptors: Artificial Intelligence, Grammar, Language Patterns, Linguistic Theory
Baker, Eva; And Others – 1990
This sourcebook is intended to provide researchers and users of natural language computer systems with a classification scheme to describe language-related problems associated with such systems. Methods from the disciplines of artificial intelligence (AI), education, linguistics, psychology, anthropology, and psychometrics were applied in an…
Descriptors: Artificial Intelligence, Classification, Cognitive Psychology, Computer Oriented Programs
Matthiessen, Christian – 1987
Taking the lexicogrammatical resources (i.e. the vocabulary and syntax) of English as a starting point, this report explores the demands those resources put on the design of the part of a text generation system that supports the process of lexicogrammatical expression. The first section of the report notes that a reason for using the lexicogrammar…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, Computer Uses in Education