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        <datestamp>2024-03-06T10:29:13Z</datestamp>
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          <dc:title>Syntactic REAP.PT: Exercises on Clitic Pronouning</dc:title>
          <dc:creator>Freitas, Tiago</dc:creator>
          <dc:creator>Baptista, Jorge</dc:creator>
          <dc:creator>Mamede, Nuno</dc:creator>
          <dc:subject>Intelligent Computer Assisted Language Learning (ICALL)</dc:subject>
          <dc:subject>Portuguese</dc:subject>
          <dc:subject>Syntactic Exercises</dc:subject>
          <dc:subject>Automatic Exercise Generation</dc:subject>
          <dc:subject>Clitic Pronouning</dc:subject>
          <dc:description>The emerging interdisciplinary field of Intelligent Computer Assisted Language Learning (ICALL) aims to integrate the knowledge from computational linguistics into computer-assisted language learning (CALL). REAP.PT is a project emerging from this new field, aiming to teach Portuguese in an innovative and appealing way, and adapted to each student. In this paper, we present a new improvement of the REAP.PT system, consisting in developing new, automatically generated, syntactic exercises. These exercises deal with the complex phenomenon of pronominalization, that is, the substitution of a syntactic constituent with an adequate pronominal form. Though the transformation may seem simple, it involves complex lexical, syntactical and semantic constraints. The issues on pronominalization in Portuguese make it a particularly difficult  aspect of language learning for non-native speakers. On the other hand, even native speakers can often be uncertain about the correct clitic positioning, due to the complexity and interaction of competing factors governing this phenomenon. A new architecture for automatic syntactic exercise generation is proposed. It proved invaluable in easing the development of this complex exercise, and is expected to make a relevant step forward in the development of future syntactic exercises, with the potential of becoming a syntactic exercise generation framework. A pioneer feedback system with detailed and automatically generated explanations for each answer is also presented, improving the learning experience, as stated in user comments. The expert evaluation and crowd-sourced testing positive results demonstrated the validity of the present approach.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tiago Freitas and Jorge Baptista and Nuno Mamede</dc:contributor>
          <dc:date>2013</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 29, 2nd Symposium on Languages, Applications and Technologies (2013)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.SLATE.2013.271</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-40433</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2013.271</dc:identifier>
          <dc:language>eng</dc:language>
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