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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
Maho Takahashi – ProQuest LLC, 2024
This dissertation features a relative clause island, whose status has been known to differ significantly across languages and extraction types. By conducting a series of acceptability judgment experiments with human participants, as well as measuring token-by-token surprisal values among large language models, I demonstrate the following: First,…
Descriptors: Phrase Structure, Computational Linguistics, Decision Making, Task Analysis
Pablo E. Requena – Language Learning and Development, 2024
The well-known sampling limitation of most longitudinal corpus data can be even more consequential in the study of morphosyntactic variation in child language. An analysis of caregiver input suggests that variable use in overlapping contexts may be hard to find by solely relying on corpus data collected under the sampling procedures that are…
Descriptors: Morphology (Languages), Syntax, Language Acquisition, Language Variation
Wang, Jue; Engelhard, George; Combs, Trenton – Journal of Experimental Education, 2023
Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…
Descriptors: Writing Evaluation, Scoring, Accuracy, Computational Linguistics
Jiayi Lu – ProQuest LLC, 2024
Speakers display considerable variability in language use and representations: they may have different pronunciations of the same word, different intended meanings for the same phrases, and different sets of syntactic constraints in their internalized grammars. Comprehenders adapt to such variability by constantly updating their expectations for…
Descriptors: Language Usage, Phrase Structure, Grammar, Syntax
Du Gan; Kanokporn Numtong; Hao Li; Songyu Jiang – Eurasian Journal of Applied Linguistics, 2024
This study applies the Apriori algorithm to analyse patterns, syntactic structures, and thematic clusters in Chinese studies data from various genres. This study aims to identify recurring linguistic elements in order to shed light on the dynamic nature of the Chinese language across different contexts and time periods. The Apriori algorithm is…
Descriptors: Chinese, Applied Linguistics, Algorithms, Computational Linguistics
Kaveri K. Sheth; Naja Ferjan Ramírez – Language Learning and Development, 2025
Research on "parentese," the acoustically exaggerated, slower, and higher-pitched speech directed toward infants, has mostly focused on maternal contributions, although it has long been known that fathers also produce parentese. Given recent societal changes in family dynamics, it is necessary to revise these mother-centered models of…
Descriptors: Computational Linguistics, Parent Child Relationship, Child Language, Syntax
Pearl, Lisa; Sprouse, Jon – Language Acquisition: A Journal of Developmental Linguistics, 2021
We investigate concrete acquisition theories for a derived approach to linking theory development and explore to what extent two prominent linking theories in the syntactic literature--UTAH and rUTAH--can be derived from the data that English-learning children encounter. We leverage a conceptual acquisition framework that specifies key aspects of…
Descriptors: Language Acquisition, Linguistic Theory, Syntax, Linguistic Input
Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)
Day, Trevor K. M.; Elison, Jed T. – Journal of Child Language, 2022
A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles in speech to the extent it would be natural to surmise they are acquired differently. As measured through the comprehension and production of closed-class words, syntactic ability emerges at roughly the 400-word…
Descriptors: Syntax, Vocabulary Development, Factor Analysis, Classification
Qihui Xu – ProQuest LLC, 2022
How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances;…
Descriptors: Language Acquisition, Speech Communication, Computational Linguistics, Syntax
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Minjin Kim; Xiaofei Lu – Modern Language Journal, 2024
The effects of learner- and task-related variables on second language (L2) writing syntactic complexity (SC) have been extensively investigated. However, previous research has rarely assessed the reliability of computational tools for analyzing the SC of L2 spoken production, and we know less about the effects of such variables on L2 speaking SC.…
Descriptors: Speech Communication, Syntax, English (Second Language), Second Language Learning
Mancuso, Azzurra; Elia, Annibale; Laudanna, Alessandro; Vietri, Simonetta – Journal of Psycholinguistic Research, 2020
Idioms have been traditionally described as fixed expressions, highly restricted in their realization. Corpus and experimental studies, however, have shown that they are more variable than previously thought. The issue of idiom syntax has received a renewed interest, since it also addresses the problem of how idioms are mentally stored. Another…
Descriptors: Figurative Language, Language Processing, Syntax, Priming