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Using the letter decision task to examine semantic priming.

, , and . CogSci, cognitivesciencesociety.org, (2013)

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Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations., , and . IJCAI, page 4806-4810. ijcai.org, (2017)Cross-modal representation of spoken and written word meaning in left pars triangularis., , , , , , , , and . NeuroImage, (2017)Associative strength and semantic activation in the mental lexicon: evidence from continued word associations., , and . CogSci, cognitivesciencesociety.org, (2013)Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences., , , , , and . CIP, page 1-6. IEEE, (2014)Comparing predictions of lexical norm data obtained using word associations and word collocation., , , and . CogSci, cognitivesciencesociety.org, (2016)The effect of semantic distance in the picture-word interference task., , and . ExLing, page 113-116. ISCA, (2006)Predicting human similarity judgments with distributional models: The value of word associations., , and . COLING, page 1861-1870. ACL, (2016)Left perirhinal cortex codes for semantic similarity between written words defined from cued word association., , , , , , and . NeuroImage, (2019)Representation of associative and affective semantic similarity of abstract words in the lateral temporal perisylvian language regions., , , , , , , and . NeuroImage, (2020)Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information., , and . CogSci, cognitivesciencesociety.org, (2018)