Sentence examples for semantic associates from inspiring English sources

By removing overlapping lists or words and including some lists with 1 or 2 words from the Japanese word association norms (Umemoto 1969), we eventually prepared 60 lists of semantic associates.

Schotter (2013) reported semantic preview benefit for synonyms, but not semantic associates when the preview/target was embedded in a neutral sentence context.

Lexical factors of concreteness of word meaning, word frequency, number of semantic associates, and orthographic similarity also explained variance in N400 amplitude at the single-item level.

Two experiments explored false recall of unstudied critical items (e.g., chair) following the presentation of 16 semantic associates to the critical word (e.g., sit, desk), 16 phonological associates to the critical word (e.g., cheer, hair), and every composition of hybrid list in between (e.g., 14 semantic and 2 phonological associates).

Cognitive neuroscientist Dr. Scott Weems found that people exposed to comedy are better able to answer semantic associates tasks.

While verbal fluency relies on the phonological cues for word retrieval, categorical fluency relies on semantic associates for retrieval.

Conditions of high and low semantic control demands were arranged, such that the same cue word was matched with a high or low semantic associate, using several sets of association norms (Postman and Keppel 1970; Moss and Older 1996).

Nevertheless, the tf-dcf index mathematical structure keeps a semantic associated to the absolute frequency, since the numeric value of tf-dcf of a given term is bounded by its absolute frequency.

The data were subjected to 2 (ROM: low versus high) × 2 (contextual congruency: contextually supported meaning versus contextually unsupported meaning) × 2 (target type: semantic associate versus control) analyses of variance (ANOVAs) with repeated measures, treating either the participants (F 1 ) or the items (F 2 ) as a random effect.

In line with previous research, memories were coded as specific, extended, categoric, semantic associate or as an omission by one of two research assessors, both blind to treatment condition.

The semantic type associated with "Carcinoma of bladder" is neop; the non-seed semantic type associated with the opposing subject/object argument in each semantic predication was used in performing the algorithm's RlogF calculation.