Discrimination in lexical decision
In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarit...
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| Veröffentlicht in: | PloS one 2017-02, Vol.12 (2), p.e0171935-e0171935 |
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| creator | Milin, Petar Feldman, Laurie Beth Ramscar, Michael Hendrix, Peter Baayen, R Harald |
| description | In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently. |
| doi_str_mv | 10.1371/journal.pone.0171935 |
| format | Article |
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We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0171935</identifier><identifier>PMID: 28235015</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Analysis ; Biology and Life Sciences ; Cognition & reasoning ; Cornea ; Decision analysis ; Decision Making ; Discrimination ; Discrimination learning ; Discrimination Learning - physiology ; Experimental psychology ; Female ; Humans ; Laboratories ; Language ; Lexical access ; Male ; Memory ; Mental task performance ; Morphology ; Natural language processing ; Orthography ; Pattern Recognition, Visual - physiology ; Perceptual Masking - physiology ; Physical Sciences ; Priming ; Principal components analysis ; Reaction Time ; Reading ; Segmentation ; Semantics ; Seminars ; Social Sciences ; Speech - physiology ; Vocabulary ; Young Adult</subject><ispartof>PloS one, 2017-02, Vol.12 (2), p.e0171935-e0171935</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Milin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Milin et al 2017 Milin et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-e0a356ff13825be26c393acc65523aa14fb77ce05029bf79636e10a20f24f0903</citedby><cites>FETCH-LOGICAL-c725t-e0a356ff13825be26c393acc65523aa14fb77ce05029bf79636e10a20f24f0903</cites><orcidid>0000-0001-9708-7031</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325216/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325216/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28235015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>van Rijn, Hedderik</contributor><creatorcontrib>Milin, Petar</creatorcontrib><creatorcontrib>Feldman, Laurie Beth</creatorcontrib><creatorcontrib>Ramscar, Michael</creatorcontrib><creatorcontrib>Hendrix, Peter</creatorcontrib><creatorcontrib>Baayen, R Harald</creatorcontrib><title>Discrimination in lexical decision</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Milin, Petar</au><au>Feldman, Laurie Beth</au><au>Ramscar, Michael</au><au>Hendrix, Peter</au><au>Baayen, R Harald</au><au>van Rijn, Hedderik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discrimination in lexical decision</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-02-24</date><risdate>2017</risdate><volume>12</volume><issue>2</issue><spage>e0171935</spage><epage>e0171935</epage><pages>e0171935-e0171935</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28235015</pmid><doi>10.1371/journal.pone.0171935</doi><tpages>e0171935</tpages><orcidid>https://orcid.org/0000-0001-9708-7031</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Analysis Biology and Life Sciences Cognition & reasoning Cornea Decision analysis Decision Making Discrimination Discrimination learning Discrimination Learning - physiology Experimental psychology Female Humans Laboratories Language Lexical access Male Memory Mental task performance Morphology Natural language processing Orthography Pattern Recognition, Visual - physiology Perceptual Masking - physiology Physical Sciences Priming Principal components analysis Reaction Time Reading Segmentation Semantics Seminars Social Sciences Speech - physiology Vocabulary Young Adult |
| title | Discrimination in lexical decision |
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