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On automatically analyzing learner language: Interpreting form and meaning in context
If you have a question about this talk, please contact Chris Cummins.
The automatic analysis of learner language can play a role in the annotation of learner corpora and in intelligent language tutoring systems. In this talk, I first want to raise some questions about the nature of the linguistic categories which are appropriate for learner language under different perspectives, and which role the context, explicit tasks, and learner modeling play for the interpretation of learner language. Then the talk moves from analyzing form to evaluating aspects of meaning. I discuss our work in the CoMiC project on automatically evaluating the meaning of learner answers to reading comprehension questions, for which we explore which linguistic representations and comparison strategies are effective and robust enough to evaluate meaning in the face of significant well-formed and ill-formed variation.
This talk is part of the RCEAL Tuesday Colloquia series.
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Other listsSustainable Development: 11th Distinguished Lecture Series 2013 Historical Linguistics Research Cluster Cambridge Comparative Syntax Conference (CamCoS)
Other talksMedical Research Council Conference on Biostatistics Nomic truth approximation by revising models and postulates in the light of increasing evidence Idiot! by Oscar K. & Dorte Karrebæk “Not Everything In Primary Care Is Common” Talking with the neighbours: Understanding spatial accommodation in plant development Dualities and supersymmetry breaking