Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Source
| System | 2 |
| Computer Assisted Language… | 1 |
| Language Teaching Research | 1 |
| Studies in Second Language… | 1 |
| TESOL International Journal | 1 |
Author
| Bardovi-Harlig, Kathleen | 1 |
| Bofman, Theodora | 1 |
| Dagneaux, Estelle | 1 |
| Denness, Sharon | 1 |
| Dodigovic, Marina | 1 |
| Granger, Sylviane | 1 |
| Gutierrez-Osuna, Ricardo | 1 |
| Haggan, Madeline | 1 |
| Jing, Song | 1 |
| Levis, John | 1 |
| Ma, Chengchen | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| China | 1 |
| United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
Dodigovic, Marina; Ma, Chengchen; Jing, Song – TESOL International Journal, 2017
This study aims to further the understanding of first language (L1) lexical transfer within the context of L1 Chinese learners of English. Previous transfer research has often focused on a small subset of grammar errors, without examining how lexical choices, especially in collocations and multi-word units (MWU), might have been influenced by L1…
Descriptors: Transfer of Training, Chinese, Native Language, English (Second Language)
Nino, Ana – Computer Assisted Language Learning, 2008
Generalised access to the Internet and globalisation has led to increased demand for translation services and a resurgence in the use of machine translation (MT) systems. MT post-editing or the correction of MT output to an acceptable standard is known to be one of the ways to face the huge demand on multilingual communication. Given that the use…
Descriptors: Advanced Students, Translation, Second Language Learning, Editing
Peer reviewedDagneaux, Estelle; Denness, Sharon; Granger, Sylviane – System, 1998
Introduces the technique of computer-aided error analysis, a new approach to analyzing learner errors in second-language learning. Data used to demonstrate the technique consist of a 150,000-word corpus of English written by intermediate and advanced-level French-speaking learners. The study concludes that error analysis is worthwhile,…
Descriptors: Advanced Students, Computer Assisted Instruction, English (Second Language), Error Analysis (Language)
Peer reviewedHaggan, Madeline – System, 1991
Analysis of spelling errors collected from final examinations of native-Arabic speaking students majoring in English found significant differences in frequencies of error types among remedial and advanced students. Mispronunciation and lack of awareness of spelling rules and regular spelling patterns strongly contributed to spelling errors, even…
Descriptors: Advanced Students, Arabic, College Students, Comparative Analysis
Peer reviewedBardovi-Harlig, Kathleen; Bofman, Theodora – Studies in Second Language Acquisition, 1989
A study examined the relationship between syntactic complexity and overall accuracy in the written English of 30 advanced learners of English from five different native language groups. Results show similar patterns of error distribution, a similar level of relative strength in syntax, and relative weakness in morphology. (Author/MSE)
Descriptors: Adult Students, Advanced Students, Arabic, Chinese

Direct link
