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The Second Language Interferes with Picture Naming in the First Language: Evidence for L2 Activation during L1 Production ...
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62 |
Lexical predictability during natural reading: Effects of surprisal and entropy reduction ...
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63 |
Artifical grammar learning and its neurobiology in relation to language processing and development ...
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64 |
Competition all the way down: How children learn word order cues to sentence meaning ...
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65 |
Evolution of Cultural Identity Terms in Lay and Academic Sources: Implications for Research and Public Policy ...
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66 |
Pre-linguistic segmentation of speech into syllable-like units ...
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67 |
Autism and bilingualism: A qualitative interview study of parents’ perspectives and experiences ...
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68 |
The Language of Smell: Connecting Linguistic and Psychophysical Properties of Odor Descriptors ...
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71 |
Infants' Sensitivity to Vowel Harmony and its Role in Segmenting Speech ...
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72 |
Horses for courses: When acceptability judgments are more suitable than structural priming (and vice versa). Reply to Branigan and Pickering (2017). ...
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73 |
Top-Down Structure Influences Learning of Non-Adjacent Dependencies in an Artificial Language ...
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Diversity not quantity in caregiver speech: Using computational modeling to isolate the effects of the quantity and the diversity of the input on vocabulary growth ...
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Abstract:
Children who hear large amounts of diverse speech learn language more quickly than children who do not. However, high correlations between the amount and the diversity of the input in speech samples makes it difficult to isolate the influence of each. We overcame this problem by controlling the input to a computational model so that amount of exposure to linguistic input (quantity) and the quality of that input (lexical diversity) were independently manipulated. Sublexical, lexical, and multi-word knowledge were charted across development (Study 1), showing that while input quantity may be important early in learning, lexical diversity is ultimately more crucial, a prediction confirmed against children’s data (Study 2). The model trained on a lexically diverse input also performed better on nonword repetition and sentence recall tests (Study 3) and was quicker to learn new words over time (Study 4). A language input that is rich in lexical diversity outperforms equivalent richness in quantity for learned ...
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Keyword:
Cognitive Psychology; Developmental Psychology; First and Second Language Acquisition; FOS Languages and literature; FOS Psychology; Linguistics; Psychology; Social and Behavioral Sciences
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URL: https://dx.doi.org/10.17605/osf.io/wdbpc https://osf.io/preprints/psyarxiv/wdbpc/
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75 |
Consistency and variability in word learning across languages ...
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76 |
Making predictable unpredictable with style – Behavioral and electrophysiological evidence for the critical role of prosodic expectations in the perception of prominence in speech ...
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Preprint: Using named entities for computer-automated verbal deception detection ...
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