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<dc:title>Paradigm Relative Entropy and Discriminative Learning</dc:title>
<dc:creator>Pirrelli Vito</dc:creator>
<dc:creator>Marzi Claudia</dc:creator>
<dc:creator>Ferro Marcello</dc:creator>
<dc:creator>Cardillo Franco Alberto</dc:creator>
<dc:contributor>Pirrelli, Vito</dc:contributor>
<dc:contributor> Marzi, Claudia</dc:contributor>
<dc:contributor> Ferro, Marcello</dc:contributor>
<dc:contributor> Cardillo, FRANCO ALBERTO</dc:contributor>
<dc:subject>Paradigm Entropy</dc:subject>
<dc:subject>Discriminative Learning</dc:subject>
<dc:subject>Mental Lexicon</dc:subject>
<dc:subject>Verb Inflection</dc:subject>
<dc:description>In the present contribution, we show that principles of discriminative learning of symbolic time series go a long way in accounting for these effects, thus making an important contribution to our understanding of the human lexical processor and its sensitivity to word distributions both within and across paradigms.</dc:description>
<dc:date>2017</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>https://hdl.handle.net/20.500.14243/327022</dc:identifier>
<dc:identifier>http://w3.erss.univ-tlse2.fr/ParadigMo2017/program.html</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>ispartofbook:Book of Abstract of the ParadigMo Workshop</dc:relation>
<dc:relation>ParadigMo 2017: First Workshop on Paradigmatic Word Formation Modeling</dc:relation>
<dc:relation>numberofpages:5</dc:relation>
<dc:format>ELETTRONICO</dc:format>
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