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Ester Garcia – ProQuest LLC, 2024
Individuals with lower proficiency in a second language tend to produce more disfluent speech patterns in the second language. Speech disfluencies refer to interruptions in the forward flow of speech and are distinct from the colloquial use of "fluency," to characterize knowledge of a language. Prior research indicates that some speech…
Descriptors: Language Proficiency, Second Language Learning, Second Language Instruction, Spanish
Ercin, Nalan; Altay, Mehmet – Journal on English Language Teaching, 2020
The axis of task research has shifted from task design to task planning, and rehearsal as a pre-task planning has been less touched upon throughout the history of the Second Language Acquisition (SLA); therefore, the current research was set around task rehearsal after Present-Practise-Product (PPP) model instruction in the task-supported language…
Descriptors: Accuracy, Second Language Learning, Second Language Instruction, English (Second Language)
Olney, Andrew M. – Grantee Submission, 2021
This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered…
Descriptors: Translation, Language Processing, Error Analysis (Language), Grammar
López-Beltrán, Priscila; Johns, Michael A.; Dussias, Paola E.; Lozano, Cristóbal; Palma, Alfonso – Second Language Research, 2022
Traditionally, it has been claimed that the non-canonical word order of passives makes them inherently more difficult to comprehend than their canonical active counterparts both in the first (L1) and second language (L2). However, growing evidence suggests that non-canonical word orders are not inherently more difficult to process than canonical…
Descriptors: Language Processing, Word Order, Form Classes (Languages), Native Language
Geluso, Joe; Yamaguchi, Atsumi – ReCALL, 2014
Corpus linguistics has established that language is highly patterned. The use of patterned language has been linked to processing advantages with respect to listening and reading, which has implications for perceptions of fluency. The last twenty years has seen an increase in the integration of corpus-based language learning, or data-driven…
Descriptors: Second Language Learning, Second Language Instruction, Computational Linguistics, Language Processing
Seyfeddinipur, Mandana; Kita, Sotaro; Indefrey, Peter – Cognition, 2008
When speakers detect a problem in what they are saying, they must decide whether or not to interrupt themselves and repair the problem, and if so, when. Speakers will maximize accuracy if they interrupt themselves as soon as they detect a problem, but they will maximize fluency if they go on speaking until they are ready to produce the repair.…
Descriptors: Speech Communication, Maintenance, Computational Linguistics, Language Fluency
Siyanova, Anna; Schmitt, Norbert – Canadian Modern Language Review, 2008
This article presents a series of studies focusing on L2 production and processing of adjective-noun collocations (e.g., "social services"). In Study 1, 810 adjective-noun collocations were extracted from 31 essays written by Russian learners of English. About half of these collocations appeared frequently in the British National Corpus (BNC);…
Descriptors: Nouns, English (Second Language), Second Language Learning, Language Processing
Ferreira, Fernanda; Lau, Ellen F.; Bailey, Karl G. D. – Cognitive Science, 2004
Disfluencies include editing terms such as "uh" and "um" as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research focused on the way that disfluencies affect structure-building operations during comprehension. We review major findings from both computational linguistics and…
Descriptors: Computational Linguistics, Psycholinguistics, Articulation (Speech), Models