NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Jennifer Kuo – ProQuest LLC, 2023
Paradigms with conflicting data patterns can be difficult to learn, resulting in acquisition error. In this dissertation, I look at how paradigms are reanalyzed over time to gain insight into the factors that influence morphophonological learning. Existing models of morphophonology (e.g. Hare & Elman 1995; Albright 2002b,a, 2010) predict…
Descriptors: Phonology, Malayo Polynesian Languages, Language Research, Grammar
Peer reviewed Peer reviewed
Direct linkDirect link
Brehm, Laurel; Cho, Pyeong Whan; Smolensky, Paul; Goldrick, Matthew A. – Cognitive Science, 2022
Subject-verb agreement errors are common in sentence production. Many studies have used experimental paradigms targeting the production of subject-verb agreement from a sentence preamble ("The key to the cabinets") and eliciting verb errors (… "*were shiny"). Through reanalysis of previous data (50 experiments; 102,369…
Descriptors: Sentences, Sentence Structure, Grammar, Verbs
Peer reviewed Peer reviewed
Direct linkDirect link
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
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Ambridge, Ben; Pine, Julian M.; Rowland, Caroline F. – Cognition, 2012
The present study investigated how children learn that some verbs may appear in the figure-locative but not the ground-locative construction (e.g., "Lisa poured water into the cup"; "*Lisa poured the cup with water"), with some showing the opposite pattern (e.g., "*Bart filled water into the cup"; "Bart filled the cup with water"), and others…
Descriptors: Semantics, Verbs, Grammar, Exhibits
Peer reviewed Peer reviewed
Direct linkDirect link
Foote, Rebecca – Second Language Research, 2015
In native speakers of gender-marking languages, mechanisms of gender production appear to be affected by the morphophonological cues to gender present in the noun phrase. This influence is manifested in higher levels of production accuracy when more transparent cues to gender are present in comparison to when they are not. The goal of the present…
Descriptors: Spanish, Grammar, Second Language Learning, Morphology (Languages)
Peer reviewed Peer reviewed
Direct linkDirect link
Duman, Tuba Yarbay; Bastiaanse, Roelien – Brain and Language, 2009
This study tested the production of tensed finite verbs and participles referring to the past and future in agrammatic speakers of Turkish. The agrammatic speakers did not make more time reference errors in tensed verbs than in participles. This is interesting because tense in general cannot therefore be the main problem, since time reference for…
Descriptors: Verbs, Turkish, Neurolinguistics, Aphasia
Rus, Dominik – ProQuest LLC, 2010
This dissertation investigates the acquisition of early verb inflection in child Slovenian from morphosyntactic and morphophonological perspectives. It centers on the phenomenon of root nonfinites, particularly the patterns of omission and substitution errors in verb inflection marking. It argues that every acquisition model needs to account…
Descriptors: Child Language, Verbs, Morphemes, Slavic Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Freudenthal, Daniel: Pine, Julian; Gobet, Fernando – Journal of Child Language, 2010
In this study, we use corpus analysis and computational modelling techniques to compare two recent accounts of the OI stage: Legate & Yang's (2007) Variational Learning Model and Freudenthal, Pine & Gobet's (2006) Model of Syntax Acquisition in Children. We first assess the extent to which each of these accounts can explain the level of OI errors…
Descriptors: Verbs, Syntax, Error Analysis (Language), Child Language
Yoon, Su-Youn – ProQuest LLC, 2009
This dissertation provides an automated scoring method of speech fluency for second language learners of English (L2 learners) based that uses speech recognition technology. Non-standard pronunciation, frequent disfluencies, faulty grammar, and inappropriate lexical choices are crucial characteristics of L2 learners' speech. Due to the ease of…
Descriptors: Phonemes, Second Language Learning, Scoring, Correlation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection