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Yushan Ke – CALICO Journal, 2024
Phraseology has been flourishing in the field of English writing studies in recent years. However, the focus has primarily been on items with less variability, such as ngrams or lexical bundles. To address this gap, this study investigates concgrams (Cheng et al., 2006), which encompass both constituency and positional variations, in advanced…
Descriptors: Equivalency Tests, High School Equivalency Programs, Writing Tests, Phrase Structure
Amandine Hippolyte; Nicolas Ribeiro; Laure Ibernon; Nathalie Marec-Breton; Christelle Declercq – First Language, 2025
This study aimed to establish normative data for 145 words using phonological and semantic association tasks with 242 French schoolchildren, ranging from ages 5 (Grande Section) to 8 (Cours Elémentaire 2), providing a fundamental resource for future research and educational planning. The participants were engaged in two primary tasks: a free…
Descriptors: French, Phonology, Semantics, Preschool Children
Öksüz, Dogus; Brezina, Vaclav; Rebuschat, Patrick – Language Learning, 2021
This study investigated the effects of individual word frequency, collocational frequency, and association on L1 and L2 collocational processing. An acceptability judgment task was administered to L1 and L2 speakers of English. Response times were analyzed using mixed-effects modeling for 3 types of adjective-noun pairs: (a) high-frequency, (b)…
Descriptors: Phrase Structure, Native Language, Second Language Learning, English (Second Language)
Jones, Michael N.; Gruenenfelder, Thomas M.; Recchia, Gabriel – Grantee Submission, 2017
Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…
Descriptors: Semantics, Computational Linguistics, Spatial Ability, Proximity
Marecka, Marta; McDonald, Alison; Madden, Gillian; Fosker, Tim – International Journal of Bilingual Education and Bilingualism, 2022
Research suggests that second language words are learned faster when they are similar in phonological structure or accent to the words of an individual's first language. Many major theories suggest this happens because of differences in frequency of exposure and context between first and second language words. Here, we examine the independent…
Descriptors: Pictorial Stimuli, Task Analysis, Phonology, Second Language Learning
Stevens, Jon Scott; Gleitman, Lila R.; Trueswell, John C.; Yang, Charles – Cognitive Science, 2017
We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative…
Descriptors: Semantics, Associative Learning, Probability, Computational Linguistics
Nagovitsyna, N. V. – Russian Education & Society, 2018
The article presents the procedure and results of a linguistic experimental study of the cognitive characteristics underlying basic ideas about patriotism in the modern Russian language consciousness as identified by the author from previous studies of the semantic content of the concept of PATRIOTISM in accordance with language data. The purpose…
Descriptors: Russian, Language Usage, Patriotism, Semantics
Lin, Yen-Yu; Chung, Siaw-Fong – Taiwan Journal of TESOL, 2016
CHALLENGE is generally perceived as a negative word synonymous with "dispute," "defy," "confrontation," and "contest." However, when resorting to dictionary definitions, CHALLENGE has unexpectedly been found to possess positive senses such as "stimulating" and "arousing competitive…
Descriptors: Computational Linguistics, Intonation, Suprasegmentals, Semantics
Hills, Thomas – Journal of Child Language, 2013
Does child-directed language differ from adult-directed language in ways that might facilitate word learning? Associative structure (the probability that a word appears with its free associates), contextual diversity, word repetitions and frequency were compared longitudinally across six language corpora, with four corpora of language directed at…
Descriptors: Child Language, Computational Linguistics, Language Acquisition, Word Frequency
Hamrick, Phillip – Language Learning, 2014
Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…
Descriptors: Second Language Learning, Role, Syntax, Computational Linguistics
Meara, Paul – International Journal of English Studies, 2007
This paper describes a set of simulations which explore the way different features of lexical organisation affect the probability of finding a pair of associated words in a set of five randomly selected words. The simulation is equivalent to giving Ss a set of five words and asking if they can identify a pair of associated words among them. The…
Descriptors: Second Language Learning, Associative Learning, Vocabulary Development, Simulation
Silberman, Yaron; Bentin, Shlomo; Miikkulainen, Risto – Cognitive Science, 2007
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words…
Descriptors: Semantics, Schizophrenia, Associative Learning, Computational Linguistics

Ellis, Nick C. – Studies in Second Language Acquisition, 1996
Argues that much of language acquisition is sequence learning and that the resultant long-term knowledge base of language sequences serves as the database for grammar acquisition. The article also proposes mechanisms to analyze sequence information that result in knowledge of underlying grammar. (184 references) (Author/CK)
Descriptors: Associative Learning, Computational Linguistics, Discourse Analysis, Grammar