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• W2784175655 abstract "The predictive validity of various corpus-based frequency norms in first-language lexical processing has been intensively investigated in previous research, but less attention has been paid to this issue in second-language (L2) processing. To bridge the gap, in the present study we took English as a case in point and compared the predictive power of a large set of corpus-based frequency norms for the performance of an L2 English visual lexical decision task (LDT). Our results showed that, in general, the frequency norms from SUBTLEX-US and WorldLex-Blog tended to predict L2 performance better in reaction times, whereas the frequency norms from corpora with a mixture of written and spoken genres (CELEX, WorldLex-Blog, BNC, ANC, and COCA) tended to predict L2 accuracy better. Although replicated in both low- and high-proficiency L2 English learners, these patterns were not exactly the same as those found in LDT data from native English speakers. In addition, we only observed some limited advantages of the lemma frequency and contextual diversity measures over the wordform frequency measure in predicting L2 lexical processing. The results of the present study, especially the detailed comparisons among the different corpora, provide methodological implications for future L2 lexical research." @default.
• W2784175655 created "2018-01-26" @default.
• W2784175655 creator A5016637876 @default.
• W2784175655 creator A5057487706 @default.
• W2784175655 creator A5077003341 @default.
• W2784175655 date "2018-01-16" @default.
• W2784175655 modified "2023-09-24" @default.
• W2784175655 title "On the predictive validity of various corpus-based frequency norms in L2 English lexical processing" @default.
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• W2784175655 doi "https://doi.org/10.3758/s13428-017-1001-8" @default.
• W2784175655 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29340969" @default.
• W2784175655 hasPublicationYear "2018" @default.
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