Global ETD Search

221	The Effect of Item Distance on Organization in the Free Recall of Words Clay, James H. (James Hamilton) 08 1900 (has links) The purpose of the present study was to investigate the effect of item distance, which is defined as the absolute number of words separating a single item from the other items of the category, upon clustering of the removed items. By studying clustering, psychologists hope to gain knowledge of the effect of organization on memory. memory word recall clustering
222	The “Nigger Trinity”: Engaging the Discourse in Post Civil Rights/Post 1960s America Bell, Adrian Shane 12 1900 (has links) The cultural and popular media landscape of the United States of America changed after the Civil-Rights movement of the 1960s. The word “Nigger” was changed during that same period of American history. There are several authors and a comic that helped change this word during the 1960s. The post Civil-Rights American has a different experience and understanding with this word than those born before 1970. This work triangulates the current cultural location of the word “Nigger,” “nigga,” and “the n-word” using linguistics, law, and two media case studies. The “Nigger” trinity is a model that adds value to the discourse that surrounds this one word in post civil-rights/post 1960s America. Nigger the n-word nigga
223	Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and its Applications Shaik, Arshad 12 1900 (has links) Word embeddings is a useful method that has shown enormous success in various NLP tasks, not only in open domain but also in biomedical domain. The biomedical domain provides various domain specific resources and tools that can be exploited to improve performance of these word embeddings. However, most of the research related to word embeddings in biomedical domain focuses on analysis of model architecture, hyper-parameters and input text. In this paper, we use SemMedDB to design new sentences called `Semantic Sentences'. Then we use these sentences in addition to biomedical text as inputs to the word embedding model. This approach aims at introducing biomedical semantic types defined by UMLS, into the vector space of word embeddings. The semantically rich word embeddings presented here rivals state of the art biomedical word embedding in both semantic similarity and relatedness metrics up to 11%. We also demonstrate how these semantic types in word embeddings can be utilized. machine learning word embeddings
224	A further study of retinal locus as a factor in the recognition of English and Jewish words. Orbach, Jack. January 1950 (has links) No description available. Retina -- Psychophysiology. Word recognition.
225	Activation of phonological and semantic codes in lexical processing Thompson, Mary Ellen. January 1983 (has links) No description available. Word recognition. Psycholinguistics.
226	The role of ego-involvement in perceptual activity. Wallerstein, Harvey. January 1950 (has links) No description available. Visual discrimination. Word recognition.
227	Menos in early Greek Teffeteller Dale, Annette, 1944- January 1984 (has links) No description available. Homer. Menos (The Greek word)
228	Subject of her knowledge : landscape of story/layers of word Goodman, Gayle E. A. January 1993 (has links) No description available. Semantics. Word (Linguistics)
229	The effect of superordinate conceptual training on the associations of schizophrenics. Fuller, George D. 01 January 1966 (has links) (PDF) No description available. Schizophrenics Word association
230	Determining the loci of homophonic repetition effects. Reichle, Erik D. 01 January 1993 (has links) (PDF) No description available. Homonyms Word recognition

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