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Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
Natasha Vernooij – ProQuest LLC, 2024
This dissertation investigates how bilinguals use their two grammars to comprehend written intra-sentential codeswitches. I focus on adjective/noun constructions in Spanish and English where I manipulate the congruence of grammatical word order in the two languages across the codeswitch boundary. This allows me to test three codeswitching…
Descriptors: Spanish, English (Second Language), Second Language Learning, Native Language
Aajami, Raghad Fahmi – Arab World English Journal, 2020
To maintain understanding, usage, and interrelations of English vocabularies by Iraqi second language learners (L2) is a challenging mission. In the current study, the cognitive linguistic theory of domains by Langacker (1987) is adopted to provide new horizons in learning vocabulary and qualify Iraqi students with a deep knowledge analysis of the…
Descriptors: Psycholinguistics, Second Language Learning, Second Language Instruction, English (Second Language)
Kartal, Erdogan – Educational Sciences: Theory and Practice, 2019
This study is about artificial neural network modeling of the linguistic challenges encountered by students learning Turkish as a foreign language in universities in France. The study was conducted in four universities where Turkish is taught as an optional foreign language. Sixty-six students whose mother tongues were either Arabic or French…
Descriptors: Turkish, French, Second Language Learning, Second Language Instruction
Mbaziira, Alex Vincent – ProQuest LLC, 2017
Cybercriminals are increasingly using Internet-based text messaging applications to exploit their victims. Incidents of deceptive cybercrime in text-based communication are increasing and include fraud, scams, as well as favorable and unfavorable fake reviews. In this work, we use a text-based deception detection approach to train models for…
Descriptors: Crime, Information Security, Models, Networks