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Schuler, Kathryn D.; Reeder, Patricia A.; Newport, Elissa L.; Aslin, Richard N. – Language Learning and Development, 2017
Successful language acquisition hinges on organizing individual words into grammatical categories and learning the relationships between them, but the method by which children accomplish this task has been debated in the literature. One proposal is that learners use the shared distributional contexts in which words appear as a cue to their…
Descriptors: Artificial Languages, Grammar, Classification, Word Frequency
Sohail, Juwairia; Johnson, Elizabeth K. – Language Learning and Development, 2016
Much of what we know about the development of listeners' word segmentation strategies originates from the artificial language-learning literature. However, many artificial speech streams designed to study word segmentation lack a salient cue found in all natural languages: utterance boundaries. In this study, participants listened to a…
Descriptors: Phonology, Linguistic Theory, Speech, Cues
Ordin, Mikhail; Nespor, Marina – Language Learning and Development, 2016
A major problem in second language acquisition (SLA) is the segmentation of fluent speech in the target language, i.e., detecting the boundaries of phonological constituents like words and phrases in the speech stream. To this end, among a variety of cues, people extensively use prosody and statistical regularities. We examined the role of pitch,…
Descriptors: Native Language, Phonemes, Cues, German
Bulgarelli, Federica; Weiss, Daniel J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Previous research has revealed that when learners encounter multiple artificial languages in succession only the first is learned, unless there are contextual cues correlating with the change in structure or if exposure to the second language is protracted. These experiments provided a fixed amount of exposure irrespective of when learning…
Descriptors: Statistics, Primacy Effect, Undergraduate Students, Introductory Courses
Pons, Ferran; Biesanz, Jeremy C.; Kajikawa, Sachiyo; Fais, Laurel; Narayan, Chandan R.; Amano, Shigeaki; Werker, Janet F. – Psicologica: International Journal of Methodology and Experimental Psychology, 2012
Using an artificial language learning manipulation, Maye, Werker, and Gerken (2002) demonstrated that infants' speech sound categories change as a function of the distributional properties of the input. In a recent study, Werker et al. (2007) showed that Infant-directed Speech (IDS) input contains reliable acoustic cues that support distributional…
Descriptors: Evidence, Cues, Phonetics, Vowels
Johnson, Elizabeth K.; Tyler, Michael D. – Developmental Science, 2010
Past research has demonstrated that infants can rapidly extract syllable distribution information from an artificial language and use this knowledge to infer likely word boundaries in speech. However, artificial languages are extremely simplified with respect to natural language. In this study, we ask whether infants' ability to track transitional…
Descriptors: Cues, Artificial Languages, Testing, Infants
Monaghan, Padraic; Christiansen, Morten H.; Fitneva, Stanka A. – Journal of Experimental Psychology: General, 2011
Recent research has demonstrated that systematic mappings between phonological word forms and their meanings can facilitate language learning (e.g., in the form of sound symbolism or cues to grammatical categories). Yet, paradoxically from a learning viewpoint, most words have an arbitrary form-meaning mapping. We hypothesized that this paradox…
Descriptors: Cues, Investigations, Artificial Languages, Labor