<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div><br></div><div><div>==================================================</div><div><span class="Apple-tab-span" style="white-space: pre;"> </span>Call for Participation</div><div>==================================================</div><div> EACL 2014 Workshop on</div><div>Cognitive Aspects of Computational Language Learning</div><div><br></div><div> April 26, 2014</div><div> Gothenburg, Sweden</div><div><br></div><div> <a href="https://sites.google.com/site/cognitivews2014/">https://sites.google.com/site/cognitivews2014/</a></div><div><br></div><div>Invited Speakers:</div><div>Philippe Blache, Aix-Marseille Université (France)</div><div>Alexander Clark, King’s College, London (UK)</div><div><br></div><div>Endorsed by the Special Interest Group of the ACL on Natural Language Learning (SIGNLL)</div><div><br></div><div>Registration: <a href="http://eacl2014.org/registration">http://eacl2014.org/registration</a></div><div><br></div><div>----------------------------------------------</div><div><br></div><div>The Workshop on Cognitive Aspects of Computational Language Learning (CogACLL) is the fifth edition</div><div>of related workshops that was first held at ACL 2007 in Prague, EACL 2009 in Athens, EACL 2012</div><div>in Avignon and as a standalone event in Paris 2013.</div><div><br></div><div>The workshop is targeted at anyone interested in the relevance of computational techniques for</div><div>understanding first, second and bilingual language acquisition and change or loss in normal and</div><div>pathological conditions. The human ability to acquire and process language has long attracted</div><div>interest and generated much debate due to the apparent ease with which such a complex and dynamic</div><div>system is learnt and used on the face of ambiguity, noise and uncertainty. This subject raises</div><div>many questions ranging from the nature vs. nurture debate of how much needs to be innate</div><div>and how much needs to be learned for acquisition to be successful, to the mechanisms involved</div><div>in this process (general vs specific) and their representations in the human brain. There are</div><div>also developmental issues related to the different stages consistently found during acquisition</div><div>(e.g. one word vs. two words) and possible organizations of this knowledge. These have been</div><div>discussed in the context of first and second language acquisition and bilingualism, with cross</div><div>linguistic studies shedding light on the influence of the language and the environment.</div><div>The past decades have seen a massive expansion in the application of statistical and machine</div><div>learning methods to natural language processing (NLP). This work has yielded impressive results</div><div>in numerous speech and language processing tasks, including e.g. speech recognition, morphological</div><div>analysis, parsing, lexical acquisition, semantic interpretation, and dialogue management.</div><div>The good results have generally been viewed as engineering achievements. Recently researchers</div><div>have begun to investigate the relevance of computational learning methods for research on human</div><div>language acquisition and change. The use of computational modeling is a relatively recent trend</div><div>boosted by advances in machine learning techniques, and the availability of resources like corpora</div><div>of child and child-directed sentences, and data from psycholinguistic tasks by normal and</div><div>pathological groups.</div><div><br></div><div><br></div><div>WORKSHOP PROGRAMME</div><div><br></div><div>9:30 - 9:40: Opening and Introduction</div><div><br></div><div>9:40 - 10:30: Invited talk</div><div><br></div><div>"Challenging incrementality in human language processing: two operations for a cognitive architecture"</div><div>Philippe Blache</div><div><br></div><div><br></div><div>10:30 - 11:00: Coffee Break</div><div><br></div><div>11:00 - 12:30: Session 1: Phonology, morphology and word segmentation</div><div><br></div><div>11:00 - 11:20</div><div>"A Brazilian Portuguese Phonological-prosodic Algorithm Applied to Deviant Language Acquisition: A Case Study"</div><div>Vera Vasilévski, Márcio José Araujo and Helena Ferro Blasi</div><div><br></div><div>11:20 - 11:40</div><div>"Bayesian inference as a cross-linguistic word segmentation strategy: Always learning useful things"</div><div>Lawrence Phillips and Lisa Pearl</div><div><br></div><div>11:40 - 12:00</div><div>"Learning the hyperparameters to learn morphology" </div><div>Stella Frank</div><div><br></div><div>12:00 - 12:30</div><div>"An explicit statistical model of learning lexical segmentation using multiple cues" </div><div>Çağrı Çöltekin and John Nerbonne</div><div><br></div><div><br></div><div><br></div><div>12:30 - 14:00: Lunch Break</div><div><br></div><div>14:00 - 14:50: Invited Talk</div><div><br></div><div>"Distributional Learning as a Theory of Language Acquisition"</div><div>Alexander Clark</div><div><br></div><div><br></div><div>14:50 - 15:20: Session 2: Lexical acquisition and language evolution</div><div><br></div><div>14:50 - 15:20</div><div>"A multi-modal corpus for the evaluation of computational models for (grounded) language acquisition processes"</div><div>Judith Gaspers, Maximilian Panzner, Andre Lemme, Philipp Cimiano, Katharina J. Rohlfing and Sebastian Wrede</div><div><br></div><div><br></div><div>15:20 - 15:45: Coffee Break</div><div><br></div><div><br></div><div>15:45 - 16:05</div><div><br></div><div>"Towards a computational model of grammaticalization and lexical diversity" </div><div>Christian Bentz and Paula Buttery</div><div><br></div><div>16:05 - 16:25</div><div>"How well can a corpus-derived co-occurrence network simulate human associative behavior?" </div><div>Gemma Bel Enguix, Reinhard Rapp and Michael Zock</div><div><br></div><div>16:25 - 16:45</div><div>"Agent-based modeling of language evolution" </div><div>Torvald Lekvam, Björn Gambäck and Lars Bungum</div><div><br></div><div><br></div><div>16:45 - 17:15: Session 3: Second language acquisition</div><div><br></div><div>16:45 - 17:15</div><div>"Missing Generalizations: A Supervised Machine Learning Approach to L2 Written Production" </div><div>Daniel Wiechmann and Elma Kerz</div><div><br></div><div><br></div><div>17:15 - 17:30: Closing</div><div><br></div><div><br></div><div>PROGRAM COMMITTEE</div><div><br></div><div>* Afra Alishahi, Tilburg University (Netherlands)</div><div>* Colin J Bannard, University of Texas at Austin (USA)</div><div>* Marco Baroni, University of Trento (Italy)</div><div>* Robert Berwick, Massachusetts Institute of Technology (USA)</div><div>* Philippe Blache, LPL, CNRS (France) </div><div>* Jim Blevins, University of Cambridge (UK)</div><div>* Antal van den Bosch, Radboud University Nijmegen (Netherlands)</div><div>* Chris Brew, Nuance Communications (USA)</div><div>* Ted Briscoe, University of Cambridge (UK)</div><div>* Alexander Clark, Royal Holloway, University of London (UK)</div><div>* Robin Clark, University of Pennsylvania (USA)</div><div>* Stephen Clark, University of Cambridge (UK)</div><div>* Matthew W. Crocker, Saarland University (Germany)</div><div>* Walter Daelemans, University of Antwerp (Belgium)</div><div>* Dan Dediu, Max Planck Institute for Psycholinguistics (The Netherlands)</div><div>* Barry Devereux, University of Cambridge (UK)</div><div>* Benjamin Fagard, Lattice-CNRS (France)</div><div>* Jeroen Geertzen, University of Cambridge (UK)</div><div>* Ted Gibson, Massachusetts Institute of Technology (USA)</div><div>* Henriette Hendriks, University of Cambridge (UK)</div><div>* Marco Idiart, Federal University of Rio Grande do Sul (Brazil)</div><div>* Mark Johnson, Brown University (USA)</div><div>* Aravind Joshi, University of Pennsylvania (USA)</div><div>* Gianluca Lebani, University of Pisa (Italy)</div><div>* Igor Malioutov, Massachusetts Institute of Technology (USA)</div><div>* Marie-Catherine de Marneffe, The Ohio State University (USA)</div><div>* Maria Alice Parente, Federal University of ABC (Brazil)</div><div>* Massimo Poesio, University of Trento (Italy)</div><div>* Brechtje Post, University of Cambridge (UK)</div><div>* Ari Rappoport, The Hebrew University of Jerusalem (Israel)</div><div>* Anne Reboul, L2C2-CNRS (France)</div><div>* Kenji Sagae, University of Southern California (USA)</div><div>* Sabine Schulte im Walde, University of Stuttgart (Germany)</div><div>* Ekaterina Shutova, University of California, Berkeley (USA)</div><div>* Maity Siqueira, Federal University of Rio Grande do Sul (Brazil)</div><div>* Mark Steedman, University of Edinburgh (UK)</div><div>* Suzanne Stevenson, University of Toronto (Canada)</div><div>* Remi van Trijp, Sony Computer Science Laboratory Paris (France)</div><div>* Shuly Wintner, University of Haifa (Israel)</div><div>* Charles Yang, University of Pennsylvania (USA)</div><div>* Beracah Yankama, Massachusetts Institute of Technology (USA)</div><div>* Menno van Zaanen, Tilburg University (Netherlands)</div><div>* Alessandra Zarcone, University of Stuttgart (Germany)</div><div><br></div><div><br></div><div>--------------------------------------------------------------</div><div>WORKSHOP ORGANIZERS AND CONTACT</div><div><br></div><div>* Alessandro Lenci (University of Pisa, Italy)</div><div>* Muntsa Padró (Federal University of Rio Grande do Sul, Brazil)</div><div>* Thierry Poibeau (LATTICE-CNRS, France)</div><div>* Aline Villavicencio (Federal University of Rio Grande do Sul, Brazil)</div><div><br></div><div>For any inquiries regarding the workshop please send an email</div><div>to <a href="mailto:cognitive2014@gmail.com">cognitive2014@gmail.com</a></div></div><div><br></div></body></html>