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McCarthy, Philip M.; Kaddoura, Noor W.; Al-Harthy, Ayah; Thomas, Anuja M.; Duran, Nicholas D.; Ahmed, Khawlah – Pegem Journal of Education and Instruction, 2022
This study analyzes the linguistic features of counter-arguments and support arguments using two computational linguistic tools: Coh-Metrix and Gramulator. The research question investigates whether counter-argument paragraphs and support paragraphs are different in terms of their linguistic features. To conduct this study, a corpus of 78…
Descriptors: Computational Linguistics, Connected Discourse, Discourse Analysis, Readability
Sung, Min-Chang; Kim, Hyunwoo – Second Language Research, 2022
How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…
Descriptors: Language Processing, Verbs, Generalization, Task Analysis
Arai, Manabu; Nakamura, Chie; Mazuka, Reiko – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
A number of previous studies showed that comprehenders make use of lexically based constraints such as subcategorization frequency in processing structurally ambiguous sentences. One piece of such evidence is lexically specific syntactic priming in comprehension; following the costly processing of a temporarily ambiguous sentence, comprehenders…
Descriptors: Syntax, Priming, Ambiguity (Semantics), Language Processing
Giora, Rachel; Drucker, Ari; Fein, Ofer; Mendelson, Itamar – Discourse Processes: A multidisciplinary journal, 2015
Findings from five experiments support the view that negation generates sarcastic utterance-interpretations by default. When presented in isolation, novel negative constructions ("Punctuality is not his forte," "Thoroughness is not her most distinctive feature"), free of semantic anomaly or internal incongruity, were…
Descriptors: Morphemes, Language Usage, Semantics, Structural Analysis (Linguistics)