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      Information and learning in processing of adjective inflection

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      Cortex
      Elsevier BV

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          Abstract

          <p class="first" id="d1671528e67">We investigated the processing of inflected Serbian adjective forms to bring together quantitative linguistic measures from two frameworks - information theory and discrimination learning. From each framework we derived several quantitative descriptions of an inflectional morphological system and fitted two separate regression models to the processing latencies that were elicited by inflected adjectival forms presented in a visual lexical decision task. The model, which was based on lexical distributional and information theory revealed a dynamic interplay of information. The information was sensitive to syntagmatic and paradigmatic dimensions of variation; the paradigmatic information (formalized as respective relative entropies) was also modulated by lemma frequency. The discrimination learning based model revealed an equally complex pattern, involving several learning-based variables. The two models revealed strikingly similar patterns of results, as confirmed by the very high proportion of shared variance in model predictions (85.83%). Our findings add to the body of research demonstrating that complex morphological phenomena can arise as a consequence of the basic principles of discrimination learning. Learning discriminatively about inflectional paradigms and classes, and about their contextual or syntagmatic embedding, sheds light on human language-processing efficiency and on the fascinating complexity of naturally emerged language systems. </p>

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          Author and article information

          Journal
          Cortex
          Cortex
          Elsevier BV
          00109452
          August 2018
          August 2018
          Article
          10.1016/j.cortex.2018.07.020
          30213545
          68d3b728-ad40-45f5-a916-90b58e3f3c5a
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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