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Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Bovolenta, Giulia; Husband, E. Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prediction in language comprehension has become a key mechanism in recent psycholinguistic theory, with evidence from lexical prediction as a primary source. Less work has focused on whether comprehenders also make structural predictions above the lexical level. Previous research shows that processing is facilitated for syntactic structures which…
Descriptors: Prediction, Verbs, Italian, Linguistic Input
Ariamanesh, Ali A.; Barati, Hossein; Youhanaee, Manijeh – International TESOL Journal, 2022
The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Computer Assisted Testing
Kyle, Kristopher; Eguchi, Masaki; Choe, Ann Tai; LaFlair, Geoff – Language Testing, 2022
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.'s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test's domain description and…
Descriptors: Language Variation, Written Language, Speech Communication, Inferences
Cournane, Ailís; Pérez-Leroux, Ana Teresa – Language Learning and Development, 2020
Does language development drive language change? A common account of language change attributes the regularity of certain patterns to children's learning biases. The present study examines these predictions for change-in-progress in the use of "must" in Toronto English. Historically, modal verbs like "must" start with root…
Descriptors: Preschool Children, Language Usage, Verbs, Language Variation
Xu, Wenwen; Kim, Ji-Hyun – English Teaching, 2023
This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL…
Descriptors: Grammar, Accuracy, Writing Instruction, Writing Evaluation
Lippeveld, Marie; Oshima-Takane, Yuriko – Language Learning and Development, 2020
The cross-categorical use of nouns and verbs poses a challenging problem to young language learners because they are known to be less willing to accept that a single form of a word be used for more than one linguistic purpose (e.g., one-form/one-function principle). The present study investigated whether children under 3 years of age are able to…
Descriptors: Nouns, Verbs, Language Acquisition, Semantics
Egbert, Jesse – Language Testing, 2017
The use of corpora and corpus linguistic methods in language testing research is increasing at an accelerated pace. The growing body of language testing research that uses corpus linguistic data is a testament to their utility in test development and validation. Although there are many reasons to be optimistic about the future of using corpus data…
Descriptors: Language Tests, Second Language Learning, Computational Linguistics, Best Practices
Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), Language Tests
Galaczi, Evelina; Taylor, Lynda – Language Assessment Quarterly, 2018
This article on interactional competence provides an overview of the historical influences that have shaped theoretical conceptualisations of this construct as it relates to spoken language use, leading to the current view of it as involving both cognitive and social dimensions, and then describes its operationalisation in tests and assessment…
Descriptors: Communicative Competence (Languages), Second Language Learning, Language Tests, Evaluation Criteria
Gray, Bethany; Geluso, Joe; Nguyen, Phuong – ETS Research Report Series, 2019
In the present study, we take a longitudinal, corpus-based perspective to investigate short-term (over 9 months) linguistic change in the language produced for the spoken and written sections of the "TOEFL iBT"® test by a group of English-as-a-foreign-language (EFL) learners in China. The goal of the study is to identify patterns that…
Descriptors: Grammar, Computer Assisted Testing, Phrase Structure, Language Proficiency
Staples, Shelley; Biber, Douglas; Reppen, Randi – Modern Language Journal, 2018
One of the central considerations in the validity argument for the TOEFL iBT is the relationship between the language on the exam and the language required for university courses. Corpus linguistics has recently been shown to be an effective way to explore this relationship, which can also be considered as an aspect of authenticity. Applying…
Descriptors: Computational Linguistics, Computer Assisted Testing, English (Second Language), Language Tests
Gleason, Jesse – Hispania, 2014
Communicative approaches to language teaching that emphasize the importance of speaking (e.g., task-based language teaching) require innovative and evidence-based means of assessing oral language. Nonetheless, research has yet to produce an adequate assessment model for oral language (Chun 2006; Downey et al. 2008). Limited by automatic speech…
Descriptors: Scoring, Linguistics, Oral Language, Language Tests
Crossley, Scott A.; Kim, YouJin – Language Assessment Quarterly, 2019
The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…
Descriptors: Individual Differences, Syntax, Oral Language, Speech Communication
Breaux, Brooke O. – ProQuest LLC, 2013
Indirect metaphors are pervasive in everyday language: People talk about "long" vacations, "short" tempers, and "colorful" language. But, why do we use concrete lexical items that are associated with the physical world when we talk about abstract, or non-physical, concepts? A potential answer is provided by proponents…
Descriptors: English, Language Processing, Form Classes (Languages), Figurative Language
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