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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
Misato Hiraga – ProQuest LLC, 2024
This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…
Descriptors: Japanese, Computational Linguistics, Form Classes (Languages), Error Analysis (Language)
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Tantucci, Vittorio; Wang, Aiqing – Applied Linguistics, 2022
In Dialogic syntax (cf. Du Bois 2014; Tantucci et al. 2018), naturalistic interaction is inherently grounded in resonance, viz. the catalytic activation of affinities across turns (Du Bois and Giora 2014). Resonance occurs dynamically when interlocutors creatively coconstruct utterances that are formally and phonetically similar to the utterance…
Descriptors: Syntax, Computational Linguistics, Prediction, Mandarin Chinese
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Gaillat, Thomas; Simpkin, Andrew; Ballier, Nicolas; Stearns, Bernardo; Sousa, Annanda; Bouyé, Manon; Zarrouk, Manel – ReCALL, 2021
This paper focuses on automatically assessing language proficiency levels according to linguistic complexity in learner English. We implement a supervised learning approach as part of an automatic essay scoring system. The objective is to uncover Common European Framework of Reference for Languages (CEFR) criterial features in writings by learners…
Descriptors: Prediction, Rating Scales, English (Second Language), Second Language Learning
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
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Li, Jiawei; Supraja, S.; Qiu, Wei; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…
Descriptors: Course Descriptions, Learning Analytics, Academic Achievement, Prediction
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Gupton, Timothy; Sánchez Calderón, Silvia – Second Language Research, 2023
We examine the second language (L2) acquisition of variable Spanish word order by first language (L1) speakers of English via the acquisition of unaccusative and transitive predicates in various focus-related contexts. We employ two bimodal linguistic tasks: (1) acceptability judgment task (B-AJT) and (2) appropriateness preference task (B-APT).…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Language Proficiency
Ruthe Foushee; Dan Byrne; Marisa Casillas; Susan Goldin-Meadow – Grantee Submission, 2022
Linguistic alignment--the contingent reuse of our interlocutors' language at all levels of linguistic structure--pervades human dialogue. Here, we design unique measures to capture the degree of linguistic alignment between interlocutors' linguistic representations at three levels of structure: lexical, syntactic, and semantic. We track these…
Descriptors: Semantics, Syntax, Vocabulary Skills, Models
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Tortorelli, Laura S. – Reading and Writing: An Interdisciplinary Journal, 2020
Text complexity in elementary classrooms is typically measured by traditional readability tools, which rely on surface-level measures of word and sentence complexity. Theoretical and empirical work on text complexity, however, indicates that additional measures of semantics, syntax, and discourse structure may be equally important for…
Descriptors: Reading Rate, Elementary School Students, Readability, Semantics
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Gudmestad, Aarnes; Clay, Rebecca – Hispania, 2019
This study examines the variable occurrence of preposition duplication in contexts of coordination in Spanish (e.g., "Fui con mi madre y (con) mi padre"). We build on previous research on this variable morphosyntactic phenomenon (namely, prepositions in contexts of coordination) by expanding the type of data and the independent variables…
Descriptors: Language Variation, Form Classes (Languages), Spanish, Morphology (Languages)
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Vajjala, Sowmya – International Journal of Artificial Intelligence in Education, 2018
Automatic essay scoring (AES) refers to the process of scoring free text responses to given prompts, considering human grader scores as the gold standard. Writing such essays is an essential component of many language and aptitude exams. Hence, AES became an active and established area of research, and there are many proprietary systems used in…
Descriptors: Computer Software, Essays, Writing Evaluation, Scoring
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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
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Ehret, Katharina; Szmrecsanyi, Benedikt – Second Language Research, 2019
We present a proof-of-concept study that sketches the use of compression algorithms to assess Kolmogorov complexity, which is a text-based, quantitative, holistic, and global measure of structural surface redundancy. Kolmogorov complexity has been used to explore cross-linguistic complexity variation in linguistic typology research, but we are the…
Descriptors: Second Language Learning, Difficulty Level, Contrastive Linguistics, Language Research
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Bonilla, Carrie L. – Second Language Research, 2015
This article contributes to typological plausibility of Processability Theory (PT) (Pienemann, 1998, 2005) by providing empirical data that show that the stages predicted by PT are followed in the second language (L2) acquisition of Spanish syntax and morphology. In the present article, the PT stages for L2 Spanish morphology and syntax are first…
Descriptors: Linguistic Theory, Second Language Learning, Spanish, Language Processing
Kulkarni, Vivek – ProQuest LLC, 2017
Language on the Internet and social media varies due to time, geography, and social factors. For example, consider an online chat forum where people from different regions across the world interact. In such scenarios, it is important to track and detect regional variation in language. A person from the UK, who is in conversation with someone from…
Descriptors: Language Variation, Computational Linguistics, Internet, Social Media
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