Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 21 |
Descriptor
Source
Author
Adriana, Karen | 1 |
Bao Trang Thi Nguyen | 1 |
Basu, Anupam | 1 |
Brehm, Laurel | 1 |
Can, Cem | 1 |
Chae-Eun Kim | 1 |
Colin Bannard | 1 |
Daniel Freudenthal | 1 |
Das Mandal, Shyamal Kumar | 1 |
Das, Syaamantak | 1 |
Doolan, Stephen M. | 1 |
More ▼ |
Publication Type
Journal Articles | 19 |
Reports - Research | 16 |
Reports - Evaluative | 3 |
Dissertations/Theses -… | 2 |
Information Analyses | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 5 |
Secondary Education | 3 |
Elementary Education | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Julian M. Pine; Daniel Freudenthal; Fernand Gobet – Journal of Child Language, 2023
Verb-marking errors are a characteristic feature of the speech of typically-developing (TD) children and are particularly prevalent in the speech of children with Developmental Language Disorder (DLD). However, both the pattern of verb-marking error in TD children and the pattern of verb-marking deficit in DLD vary across languages and interact…
Descriptors: Developmental Disabilities, Language Impairments, Verbs, Error Patterns
Hannah Sawyer; Colin Bannard; Julian Pine – Developmental Science, 2024
There is substantial evidence that children's apparent omission of grammatical morphemes in utterances such as "She play tennis" and "Mummy eating" is in fact errors of commission in which contextually licensed unmarked forms encountered in the input are reproduced in a context-blind fashion. So how do children stop making such…
Descriptors: Verbs, Computational Linguistics, Preschool Children, Grammar
Das, Syaamantak; Das Mandal, Shyamal Kumar; Basu, Anupam – Journal of Education, 2022
It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word. A data set of BTAVs was ranked using a statistical classification. Four categories of BTAVs were identified, out of which 153 BTAVs (86.44%) are classified into a…
Descriptors: Verbs, Classification, Taxonomy, Ambiguity (Semantics)
Chae-Eun Kim – Journal of Pan-Pacific Association of Applied Linguistics, 2022
This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…
Descriptors: Korean, English (Second Language), Second Language Learning, Second Language Instruction
Tran Ngoc Quynh Phuong; Bao Trang Thi Nguyen; Thi Linh Giang Hoang; Vu Quynh Nhu Nguyen; Le Hoang Phuong Ngo – Taiwan Journal of TESOL, 2024
This article examines the use of prompt-based lexical collocations in opinion essays by Vietnamese English as a foreign language (EFL) students. Fifty second-year English majors at a Vietnamese university wrote 100 opinion essays on two topics as progress tests. The AntConc programme (Anthony, 2020) was employed to identify the frequencies of use…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
Li, Lexi Xiaoduo – Cogent Education, 2022
This study aims to examine how Chinese learners develop in their use and misuse of English modal verbs from Grade 7 to 9. Specifically, it examines form-function connections and explores the factors behind learners' development. The main focus is on the modal verbs "can," "could," "will," "would,"…
Descriptors: Verbs, Second Language Learning, Second Language Instruction, Native Language
Song, Qiuyuan – English Language Teaching, 2021
This study aims to explore how corpus-based approaches can be used to address the distinctions of English near-synonyms effectively. Especially, it collected source data from the British National Corpus (BNC) and adopted Sketch Engine (SkE) as an analyzing tool to compare the near synonymous pair "damage" and "destroy" commonly…
Descriptors: Computational Linguistics, Phrase Structure, English, Language Usage
Li, Yanru – English Language Teaching, 2022
This study investigated the erroneous use of the high-frequency verb TAKE by the Chinese college learners of English as a foreign language (EFL), aiming to identify the similarities and differences between Chinese EFL learners, aimed at finding out more effective ways for the teaching and researching of the high-frequency verbs. Corpus-based…
Descriptors: Computational Linguistics, Verbs, Second Language Learning, Second Language Instruction
Brehm, Laurel; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The current work uses memory errors to examine the mental representation of verb-particle constructions (VPCs; e.g., "make up" the story, "cut up the meat"). Some evidence suggests that VPCs are represented by a cline in which the relationship between the VPC and its component elements ranges from highly transparent ("cut…
Descriptors: Verbs, Form Classes (Languages), Regression (Statistics), Error Patterns
Florou, Katerina – Journal of Education and Learning, 2019
This paper describes a project developed within an ongoing study at the University of Athens. In our previous studies we analyzed the errors of Greek learners of Italian language, using Learner Corpora evidence and we retrieved useful information about their interlanguage and its interaction to the language learning process. In this study we…
Descriptors: Translation, Universities, Italian, Native Language
Can, Cem – Journal of Education and Training Studies, 2017
As learner corpora have presently become readily accessible, it is practicable to examine interlanguage errors and carry out error analysis (EA) on learner-generated texts. The data available in a learner corpus enable researchers to investigate authentic learner errors and their respective frequencies in terms of types and tokens as well as…
Descriptors: Verbs, Computational Linguistics, English (Second Language), Second Language Learning
Tu, Yuancheng – ProQuest LLC, 2012
The fundamental problem faced by automatic text understanding in Natural Language Processing (NLP) is to identify semantically related pieces of text and integrate them together to compute the meaning of the whole text. However, the principle of compositionality runs into trouble very quickly when real language is examined with its frequent…
Descriptors: English, Verbs, Computational Linguistics, Natural Language Processing
Manokaran, Janaki; Ramalingam, Chithra; Adriana, Karen – English Language Teaching, 2013
This research is a corpus-based study of secondary and college ESL Malaysian learner's written work by identifying and classifying the types of errors in the Past Tense Auxiliary "Be". This research studied the past tense auxiliary "be", types of past tense auxiliary "be" errors and frequency of past tense auxiliary…
Descriptors: Foreign Countries, Persuasive Discourse, Morphemes, Verbs
Jishvithaa, Joanna M.; Tabitha, M.; Kalajahi, Seyed Ali Rezvani – Advances in Language and Literary Studies, 2013
This research paper aims to explore the usage of the English Auxiliary "Be" Present Tense Verb, using corpus based method among Malaysian form 4 and form 5 students. This study is conducted by identifying and classifying the types of errors in the Auxiliary "Be" Present Tense verb in students' compositions from the MCSAW corpus…
Descriptors: Morphemes, English (Second Language), Error Patterns, Second Language Learning
Doolan, Stephen M.; Miller, Donald – Journal of Second Language Writing, 2012
In an attempt to contribute to existing research on Generation 1.5 students, the current study uses quantitative and qualitative methods to compare error patterns in a corpus of Generation 1.5, L1, and L2 community college student writing. This error analysis provides one important way to determine if error patterns in Generation 1.5 student…
Descriptors: Verbs, Error Patterns, Error Analysis (Language), English (Second Language)
Previous Page | Next Page ยป
Pages: 1 | 2