Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Artificial Intelligence | 3 |
Error Patterns | 3 |
Spelling | 3 |
Algorithms | 1 |
Classification | 1 |
Computational Linguistics | 1 |
Computer Programs | 1 |
Computer Software | 1 |
Dictionaries | 1 |
Electronic Learning | 1 |
Elementary School Students | 1 |
More ▼ |
Author
Chakraborty, Udit Kr. | 1 |
Choudhury, Sankhayan | 1 |
Fawthrop, D. | 1 |
Konar, Debanjan | 1 |
Roy, Samir | 1 |
Yannakoudakis, E. J. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Audience
Location
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Flesch Reading Ease Formula | 1 |
What Works Clearinghouse Rating
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan – Education and Information Technologies, 2016
Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…
Descriptors: Spelling, Electronic Learning, Student Reaction, Error Patterns

Yannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
This paper describes an intelligent spelling error correction system for use in a word processing environment. The system employs a dictionary of 93,769 words and, provided the intended word is in the dictionary, it identifies 80 percent to 90 percent of spelling and typing errors. Nine references are cited. (Author/EJS)
Descriptors: Algorithms, Artificial Intelligence, Computer Programs, Dictionaries