NotesFAQContact Us
Collection
Advanced
Search Tips
50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 175 results
Peer reviewed Peer reviewed
Direct linkDirect link
Aslin, Richard N.; Newport, Elissa L. – Language Learning, 2014
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for…
Descriptors: Linguistic Input, Grammar, Language Research, Computational Linguistics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lany, Jill – Child Development, 2014
Statistical learning may be central to lexical and grammatical development. The phonological and distributional properties of words provide probabilistic cues to their grammatical and semantic properties. Infants can capitalize on such probabilistic cues to learn grammatical patterns in listening tasks. However, infants often struggle to learn…
Descriptors: Language Acquisition, Cues, Vocabulary, Grammar
Peer reviewed Peer reviewed
Direct linkDirect link
Morgan-Short, Kara; Faretta-Stutenberg, Mandy; Brill-Schuetz, Katherine A.; Carpenter, Helen; Wong, Patrick C. M. – Bilingualism: Language and Cognition, 2014
This study examined how individual differences in cognitive abilities account for variance in the attainment level of adult second language (L2) syntactic development. Participants completed assessments of declarative and procedural learning abilities. They subsequently learned an artificial L2 under implicit training conditions and received…
Descriptors: Individual Differences, Cognitive Ability, Memory, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Romberg, Alexa R.; Saffran, Jenny R. – Cognitive Science, 2013
Natural languages contain many layers of sequential structure, from the distribution of phonemes within words to the distribution of phrases within utterances. However, most research modeling language acquisition using artificial languages has focused on only one type of distributional structure at a time. In two experiments, we investigated adult…
Descriptors: Artificial Languages, Second Language Learning, Adults, Adult Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Edwards, John – Language Teaching, 2013
In the popular mind, constructing a language has always been seen as an odd activity, one that seems to fly in the face of "natural" language dynamics. It is, nonetheless, a very old activity, and attention to its various stages is an important part of the study of linguistic history--and, indeed, of modern scientific development. The…
Descriptors: Artificial Languages, Diachronic Linguistics, Sociolinguistics, History
Peer reviewed Peer reviewed
Direct linkDirect link
Ordin, Mikhail; Nespor, Marina – Language Learning, 2013
A large body of empirical research demonstrates that people exploit a wide variety of cues for the segmentation of continuous speech in artificial languages, including rhythmic properties, phrase boundary cues, and statistical regularities. However, less is known regarding how the different cues interact. In this study we addressed the question of…
Descriptors: Syllables, Native Speakers, Italian, Phonology
Peer reviewed Peer reviewed
Direct linkDirect link
Kerkhoff, Annemarie; de Bree, Elise; de Klerk, Maartje; Wijnen, Frank – Journal of Child Language, 2013
This study tests the hypothesis that developmental dyslexia is (partly) caused by a deficit in implicit sequential learning, by investigating whether infants at familial risk of dyslexia can track non-adjacent dependencies in an artificial language. An implicit learning deficit would hinder detection of such dependencies, which mark grammatical…
Descriptors: Genetics, Dyslexia, Child Language, Language Acquisition
Peer reviewed Peer reviewed
Direct linkDirect link
Plante, Elena; Vance, Rebecca; Moody, Amanda; Gerken, LouAnn – Journal of Speech, Language, and Hearing Research, 2013
Purpose: Children learning language conceptualize the nature of input they receive in ways that allow them to understand and construct utterances they have never heard before. This study was designed to illuminate the types of information children with and without specific language impairment (SLI) focus on to develop their conceptualizations and…
Descriptors: Preschool Children, Language Impairments, Linguistic Input, Artificial Languages
Peer reviewed Peer reviewed
Direct linkDirect link
McDonough, Kim; Trofimovich, Pavel – Bilingualism: Language and Cognition, 2013
This study compared the effectiveness of balanced and skewed input at facilitating the acquisition of the transitive construction in Esperanto, characterized by the accusative suffix "-n" and variable word order (SVO, OVS). Thai university students (N = 98) listened to 24 sentences under skewed (one noun with high token frequency) or…
Descriptors: Linguistic Input, Second Language Learning, Morphemes, Artificial Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Goldberg, Adele E. – Cognition, 2013
Typologists have long observed that there are certain distributional patterns that are not evenly distributed among the world's languages. This discussion note revisits a recent experimental investigation of one such intriguing case, so-called "universal 18", by Culbertson, Smolensky, and Legendre (2012). The authors find that adult learners are…
Descriptors: Language Classification, Adult Students, Grammar, Artificial Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Kurumada, Chigusa; Meylan, Stephan C.; Frank, Michael C. – Cognition, 2013
Word frequencies in natural language follow a highly skewed Zipfian distribution, but the consequences of this distribution for language acquisition are only beginning to be understood. Typically, learning experiments that are meant to simulate language acquisition use uniform word frequency distributions. We examine the effects of Zipfian…
Descriptors: Statistical Distributions, Word Frequency, Language Acquisition, Artificial Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Mei, Leilei; Xue, Gui; Lu, Zhong-Lin; He, Qinghua; Zhang, Mingxia; Xue, Feng; Chen, Chuansheng; Dong, Qi – Brain and Language, 2013
The laterality difference in the occipitotemporal region between Chinese (bilaterality) and alphabetic languages (left laterality) has been attributed to their difference in visual appearance. However, these languages also differ in orthographic transparency. To disentangle the effect of orthographic transparency from visual appearance, we trained…
Descriptors: Brain, Neurological Organization, Artificial Languages, Orthographic Symbols
Johnson, Kade Ryan – ProQuest LLC, 2012
High opportunities to respond (OTR) have been touted as being a key factor in a popular and effective drill procedure called incremental rehearsal (IR). However, IR has also been criticized because it takes more instructional time than other drill procedures and can be less time efficient. The current study compared the effectiveness and…
Descriptors: Sight Vocabulary, Word Recognition, Artificial Languages, Retention (Psychology)
Miyata, Munehiko – ProQuest LLC, 2011
This dissertation presents results from a series of experiments investigating adult learning of an artificial language and the effects that input frequency (high vs. low token frequency), frequency distribution (skewed vs. balanced), presentation mode (structured vs. scrambled), and first language (English vs. Japanese) have on such learning.…
Descriptors: Adult Learning, Semantics, Native Speakers, Artificial Languages
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12