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Direct linkAdnane Ez-zizi; Dagmar Divjak; Petar Milin – Language Learning, 2024
Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Gender Differences
Nahatame, Shingo – Language Learning, 2021
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas,…
Descriptors: Readability, Natural Language Processing, Readability Formulas, Reading Processes
Alexopoulou, Theodora; Michel, Marije; Murakami, Akira; Meurers, Detmar – Language Learning, 2017
Large-scale learner corpora collected from online language learning platforms, such as the EF-Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze learner data at an unprecedented scale. However, interpreting the learner language in such corpora requires a precise understanding of tasks: How does the prompt and input of a…
Descriptors: Linguistics, Accuracy, Natural Language Processing, Linguistic Performance
Ellis, Nick C. – Language Learning, 2017
Usage-based approaches explore how we learn language from our experience of language. Related research thus involves the analysis of the usage from which learners learn and of learner usage as it develops. This program involves considerable data recording, transcription, and analysis, using a variety of corpus and computational techniques, many of…
Descriptors: Language Usage, Second Language Learning, Computational Linguistics, Longitudinal Studies
Ziegler, Nicole; Meurers, Detmar; Rebuschat, Patrick; Ruiz, Simón; Moreno-Vega, José L.; Chinkina, Maria; Li, Wenjing; Grey, Sarah – Language Learning, 2017
Despite the promise of research conducted at the intersection of computer-assisted language learning (CALL), natural language processing, and second language acquisition, few studies have explored the potential benefits of using intelligent CALL systems to deepen our understanding of the process and products of second language (L2) learning. The…
Descriptors: Interdisciplinary Approach, Second Language Learning, Language Acquisition, Intelligent Tutoring Systems
Austin, Gavin; Pongpairoj, Nattama; Trenkic, Danijela – Language Learning, 2015
Second language (L2) learners often show inconsistent production of some aspects of L2 grammar. One view, primarily based on data from L2 article production, suggests that grammatical patterns licensed by learners' native language (L1) and those licensed by their L2 compete for selection, leading to variability in the production of L2 functional…
Descriptors: English (Second Language), Second Language Learning, Grammar, Bilingualism
