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Yuki Arita – Discourse Processes: A Multidisciplinary Journal, 2024
This conversation analytic study offers an empirical analysis of the Japanese turn-initial interjection "are." The interjectional "are" is said to be pragmatized from its use as a distal demonstrative and has been considered as an expression of a speaker's internal state of being surprised at something. In contrast, this study…
Descriptors: Discourse Analysis, Language Usage, Japanese, Interpersonal Communication
Andrea Horbach; Joey Pehlke; Ronja Laarmann-Quante; Yuning Ding – International Journal of Artificial Intelligence in Education, 2024
This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in a different language. We analyze data in five different languages (Chinese, English, French, German and Spanish) collected for three prompts of the established English ASAP content scoring dataset. We…
Descriptors: Contrastive Linguistics, Scoring, Learning Analytics, Chinese
Huteng Dai – ProQuest LLC, 2024
In this dissertation, I establish a research program that uses computational modeling as a testbed for theories of phonological learning. This dissertation focuses on a fundamental question: how do children acquire sound patterns from noisy, real-world data, especially in the presence of lexical exceptions that defy regular patterns? For instance,…
Descriptors: Phonology, Language Acquisition, Computational Linguistics, Linguistic Theory
Noa Attali – ProQuest LLC, 2024
In this dissertation, I investigate how people navigate ambiguity in everyday speech, with a focus on quantifier-negation sentences. Combining corpus analysis, behavioral experiments, and computational modeling in the Rational Speech Act framework, I explore preferred interpretations of quantifier-negation and examine the contexts and prosodies…
Descriptors: Language Processing, Ambiguity (Semantics), Intonation, Suprasegmentals
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
Jonathan Rawski – ProQuest LLC, 2021
Human language is an incredibly rich yet incredibly constrained system. Learning and generalizing these systematic constraints from small, sparse, and underspecified data presents a fundamental inference problem. Therapidity and ease by which humans learn these constraints has made this a foundational study in cognitive science, linguistics, and…
Descriptors: Natural Language Processing, Algorithms, Grammar, Computational Linguistics
Terrie Galanti; Courtney Baker – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2023
With the increasing emphasis on infusing computational thinking (CT) in PK-12 education, developing teachers' technological pedagogical content knowledge is essential for CT integration. In a graduate online CT course for elementary science, technology, engineering, and mathematics (STEM) teaching, the Authentic Integrated Online Assessment model…
Descriptors: STEM Education, Elementary School Teachers, Computational Linguistics, Teacher Education
Damrongmanee, Monthira; Rojanaatichartasakul, Seehhazzakd – LEARN Journal: Language Education and Acquisition Research Network, 2023
The art review is a genre that describes the artwork under discussion, educates its readers, as well as interprets and evaluates the work. It is a genre that plays a crucial role in the art community as it publicizes art, promotes artists, educates the public and enhances their appreciation of art. This study investigates this underexplored genre…
Descriptors: Art, Artists, Art Criticism, Art Appreciation
Hana Asaad Daana; Maisa Sadi Jaber; Sereen Jubran – Eurasian Journal of Applied Linguistics, 2023
This study aims to explore and tackle different phenomena of syllable structure and syllabification patterns in Jordanian Arabic (JA). The study compares and contrasts the permissible syllable structures in different Jordanian dialects. It also presents a comprehensive analysis of how speakers of different Jordanian dialects tackle the consonantal…
Descriptors: Phonology, Arabic, Language Variation, Foreign Countries
Esche, Svana; Weihe, Karsten – IEEE Transactions on Education, 2023
Contribution: Most work on languages in computing education currently focuses on non-native speakers. In contrast, to the best of the authors' knowledge, this article is the first response to the call for research on terms that takes into account the terms used by novices in their language. Background: Terms are key factors in communication,…
Descriptors: Programming Languages, Computer Science Education, Misconceptions, Undergraduate Students
Rajaram, Melissa – Journal of Child Language, 2022
Multisyllabic words constitute a large portion of children's vocabulary. However, the relationship between phonological neighborhood density and English multisyllabic word learning is poorly understood. We examine this link in three, four and six year old children using a corpus-based approach. While we were able to replicate the well-accepted…
Descriptors: Phonology, Language Acquisition, English, Computational Linguistics
Uluocak, Mustafa; Eroglu, Süleyman; Alabay, Sercan – International Journal of Education and Literacy Studies, 2022
This research aims to analyze and evaluate postgraduate theses on Turkish vocabulary in terms of bibliometric parameters. For this purpose, to create the corpus of the study, the theses in the database of the Council of Higher Education National Thesis Center (YÖKTEZ) were accessed by selecting the "Education and Training" category and…
Descriptors: Graduate Students, Turkish, Vocabulary, Computational Linguistics
Sütçü, Elif – Education Quarterly Reviews, 2022
This study is a corpus study on morphological features of children's books in Turkish. The purpose of the study is to determine derivational and inflectional suffixes in Turkish children books and to identify the common and productive morphemes used in child literature in the light of the information obtained; hence, reach clues about determining…
Descriptors: Childrens Literature, Morphemes, Turkish, Computational Linguistics
Ahmet Basal; Erdem Akbas; Betül Bal-Gezegin – PROFILE: Issues in Teachers' Professional Development, 2024
Corpus analysis offers a more accurate understanding of a language than intuition but is not widely used in foreign language instruction. This study uses a hermeneutic-phenomenology approach and content analysis to examine the impact of a corpus literacy course on the perceptions and performance indicators of 29 English language teachers. The…
Descriptors: Computational Linguistics, Faculty Development, Language Teachers, English (Second Language)
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