Feature distinctiveness effects in language acquisition and lexical processing: Insights from megastudies
DOI: 10.1007/S10339-019-00947-6
关键词: Lexicon 、 Natural language processing 、 Feature (linguistics) 、 Age of Acquisition 、 Semantic feature 、 Language acquisition 、 Computer science 、 Artificial intelligence 、 Lexical decision task 、 Optimal distinctiveness theory 、 Semantic memory
摘要: Semantic features are central to many influential theories of word meaning and semantic memory, but new methods quantifying the information embedded in feature production norms needed advance our understanding processing language acquisition. This paper capitalized on databases age-of-acquisition ratings, megastudies including English Lexicon Project Calgary Decision Project, examine influence distinctiveness acquisition, visual lexical decision, decision. A network words was constructed such that edges represented distance, or dissimilarity, between (i.e., Jaccard Manhattan distances probability distributions elicited for each pair words), enabling us quantify relative individual other network. Words with greater tended be acquired earlier. Regression analyses megastudy data revealed inhibited performance decision task, facilitated concrete concepts, abstract concepts. These results demonstrate importance considering structural properties a space order increase
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