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Dataset Information

Development and Validation of Sentences Without Semantic Context to Complement the Basic English Lexicon Sentences.


ABSTRACT: Purpose The goal of this study was to develop and validate a new corpus of sentences without semantic context to facilitate research aimed at isolating the effects of semantic context in speech perception. Method The newly developed corpus contains nonsensical sentences but is matched in vocabulary and syntactic structure to the existing Basic English Lexicon (BEL) corpus. It consists of 20 lists, with each list containing 25 sentences and each sentence having four keywords. Each new list contains the same keywords as the respective list in the original BEL corpus, but the keywords within each list are scrambled across sentences to eliminate semantic context within each sentence, while maintaining the original syntactic structure. All sentences in the original and nonsense BEL corpora were

SUBMITTER: O'Neill ER 

PROVIDER: S-EPMC8582750 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature