Publication Date
| In 2026 | 0 |
| Since 2025 | 148 |
| Since 2022 (last 5 years) | 950 |
| Since 2017 (last 10 years) | 2073 |
| Since 2007 (last 20 years) | 3312 |
Descriptor
Source
Author
| McNamara, Danielle S. | 35 |
| Crossley, Scott A. | 28 |
| Ellis, Nick C. | 13 |
| Danielle S. McNamara | 12 |
| Graesser, Arthur C. | 11 |
| Al-Jarf, Reima | 10 |
| Boulton, Alex | 10 |
| Hyland, Ken | 10 |
| Kyle, Kristopher | 9 |
| Cai, Zhiqiang | 8 |
| Cobb, Tom | 8 |
| More ▼ | |
Publication Type
Education Level
Location
| China | 147 |
| United Kingdom | 127 |
| Turkey | 79 |
| Spain | 67 |
| Japan | 65 |
| Taiwan | 60 |
| Australia | 54 |
| Canada | 53 |
| Thailand | 51 |
| Saudi Arabia | 47 |
| Hong Kong | 46 |
| More ▼ | |
Laws, Policies, & Programs
| National Defense Education… | 3 |
| Elementary and Secondary… | 1 |
| Elementary and Secondary… | 1 |
| Every Student Succeeds Act… | 1 |
| United Nations Convention on… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Loboda, Krzysztof; Mastela, Olga – Interpreter and Translator Trainer, 2023
Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…
Descriptors: Computer Software, Computational Linguistics, Polish, Folk Culture
Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
Al-Jarf, Reima – Online Submission, 2023
This study explores the similarities and differences between English and Arabic numeral-based formulaic expressions, and difficulties that student-translators have with them. A corpus of English and Arabic numeral-based formulaic expressions containing zero, two, three, twenty, sixty, hundred, thousand…etc., and another corpus of specialized…
Descriptors: Translation, Arabic, Contrastive Linguistics, Phrase Structure
John Sabatini; Arthur C. Graesser; John Hollander; Tenaha O'Reilly – Grantee Submission, 2023
We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…
Descriptors: Literacy Education, Intelligent Tutoring Systems, Decision Making, Standards
Tuc C. Chau – ProQuest LLC, 2023
The purpose of the current dissertation is to map the relationships between first language (L1), writing quality, and syntactic complexity, accuracy, lexical complexity, and fluency (CALF) in second language (L2) writing. CALF are characteristics of language production that have been of significant interest in L2 writing research for the past few…
Descriptors: Correlation, Native Language, Second Language Learning, Second Language Instruction
Aydin, Ilker – International Journal of Progressive Education, 2019
This study aiming to determine the frequency of use of words in the narrative texts in which the best examples of standard language use are displayed ranks 268 stories compiled from the prominent names of Turkish story-writing. Frequency analyses were made on a corpus of approximately 450 thousand words and the frequency of use of words were tried…
Descriptors: Turkish, Computational Linguistics, Word Frequency, Language Usage
Sullivan, Florence R.; Keith, P. Kevin – British Journal of Educational Technology, 2019
In this study, we explore the potential of a natural language processing (NLP) approach to support discourse analysis of in-situ, small group learning conversations. The theoretical basis of this work derives from Bakhtin's notion of speech genres as bounded by educational robotics activity. Our goal is to leverage computational linguistics…
Descriptors: Natural Language Processing, Discourse Analysis, Group Discussion, Middle School Students
Lee, Steven Fong-yi – ProQuest LLC, 2019
In this dissertation I argue that truth-conditional semantics for vague predicates, combined with a Bayesian account of statistical inference incorporating knowledge of truth-conditions of utterances, generates false predictions regarding negations and metalinguistic inference. I thus propose a fundamentally probabilistic semantics for vagueness…
Descriptors: Semantics, Bayesian Statistics, Metalinguistics, Language Usage
Meurers, Detmar; Dickinson, Markus – Language Learning, 2017
This article discusses two types of opportunities for interdisciplinary collaboration between computational linguistics (CL) and language learning research. We target the connection between data and theory in second language (L2) research and highlight opportunities to (a) enrich the options for obtaining data and (b) support the identification…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Cooperation
Petcharat, Natthapon; Phoocharoensil, Supakorn – LEARN Journal: Language Education and Acquisition Research Network, 2017
This study investigates three English synonyms, i.e. "appropriate," "proper," and "suitable," concentrating on meanings, degrees of formality, collocations, and grammatical patterns. The sources of data used in this study are 1) three dictionaries, i.e. Longman Dictionary of Contemporary English 6th edition (2014),…
Descriptors: English, Definitions, Grammar, Dictionaries
Alzahrani, Mohammed Ahmed Mohammed – Arab World English Journal, 2021
This study examines service encounters in Saudi Arabia from a pragmatic perspective. Its aim is to investigate the possible impact of perceived cultural distance between customers and service providers on pragmatic choices. It specifically examines how Saudi customers construct their service encounters when talking to service providers of the same…
Descriptors: Pragmatics, Cultural Differences, Arabs, Service Occupations
Lin, Zhiqing – English Language Teaching, 2021
The traditional linear regression in applied linguistics (AL) suffers from the drawbacks arising from the strict assumptions namely: linearity, and normality, etc. More advanced methods are needed to overcome the shortcomings of the traditional method and grapple with intricate linguistic problems. However, there is no previous review on the…
Descriptors: Applied Linguistics, Computer Software, Computational Linguistics, Interdisciplinary Approach
Turner, Christina; Knutsen, Dominique – Discourse Processes: A Multidisciplinary Journal, 2021
When two people interact, reference presentation is shaped with the intention of supporting addressee understanding, allowing for ease of acceptance, thus minimizing overall collaborative effort. To date, analysis of such "audience design" has focused largely on adult-adult or adult-child interaction but seldom on adult-teenager…
Descriptors: Audience Awareness, Teacher Student Relationship, Dialogs (Language), Secondary School Teachers
Ratner, Kaylin; Burrow, Anthony L.; Burd, Kayla A.; Hill, Patrick L. – Applied Developmental Science, 2021
A minimal amount of information is known about how adolescents and emerging adults construe purpose and meaning in life, leaving many researchers to assume youth think about these constructs consistent with scientific understandings. In this preregistered study, we compared adolescent and emerging adult conceptions of purpose and meaning using…
Descriptors: Comparative Analysis, Content Analysis, High School Students, College Students
Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics

Peer reviewed
Direct link
