Thematic series on Computational Models of Language Development

Computational Cognitive Science welcomes submissions to the thematic series on Computational Models of Language Development.

This thematic series seeks to bring together researchers from all fields relevant to how we learn to understand each other and our world, exploring research that aims to be behaviourally, biologically and computationally plausible. This multidisciplinary research area was a crucible for the emergence of Cognitive Science, as Linguistics and Psychology, Neurology and Philosophy, Computer Science and Artificial Intelligence, explored contrasting perspectives on language that encompassed not only communication but representation and reasoning. It not only addresses questions about the acquisition of language by a child, but raises further questions about the development of human language, the uniqueness of human cognition, and the nature vs nurture questions about how much is learned:

How much is mediated by mechanisms or modules specific to language?

How much is an outgrowth of general perceptual/cognitive mechanisms?

Psycholinguistics encompasses the many psychological, behavioural and neurophysiological factors that enable the development and acquisition of not just our language abilities, but our understanding and participation in our physical, cultural and social environment. We particularly welcome papers that seek to develop computational psycholinguistic models that connect with recent advances in our understanding of the human brain, models that seek to show common mechanisms behind different aspects of perception and cognition, theories that address both comprehension and production, the role of similarity and metaphor in both language and learning, and frameworks that transcend the traditional boundaries and modalities of both psychology and linguistics.

The thematic series is particularly interested in computational, mathematical and multimodal models of:

  • bootstrapping processes
  • language acquisition
  • language development
  • language evolution
  • learning grammar and morphology
  • learning grounded ontology
  • learning phononology
  • learning pragmatics
  • learning prosody and tone
  • multilingual language development and environments
  • the role of drives, emotions and beliefs in learning
  • the role of self and other in language development
  • the role of social, emotional and cultural development

We will also welcome submissions that relate to the methodology of Computational Psycholinguistics, Developmental Robotics and Computational Natural Language Learning, including but not limited to:

  • corpora and annotation frameworks
  • data collection frameworks
  • evaluation frameworks
  • experimental frameworks

This thematic series is organized in cooperation with ACL SIGNLL, the Conference on Computational Natural Language Learning and the Workshop on Computational Aspects of Natural Language Learning.

Publication Timetable:

The thematic series is open for submissions at any time. However, submissions by 1 October 2016 are expected to be reviewed and final copy uploaded by 31 December 2016 for publication in the initial thematic issue shortly thereafter. Nonetheless, commentary and papers on this theme can be submitted at any time, and articles will be linked in to the thematic series as they are published.

Submission instructions:

Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for Computational Cognitive Science. The complete manuscript should be submitted through the Computational Cognitive Science submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic series in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the thematic series on Computational Models of Language Development. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.

Lead guest editor:

Dr. Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil

Guest editors:

Dr. Afra Alishahi, Tilburg University, Netherlands

Dr. Richard E Leibbrandt, Flinders University, Adelaide, Australia

Prof. Walter Daelemans, University of Antwerp, Belgium

Submissions will also benefit from the usual advantages of open access publication:

  • Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed

For editorial enquiries please contact editorial@computationalcognitivescience.com.

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