|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
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.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsEIW 2009 - Experience Islam Week (8th - 15th February 2009) Conference The Yerushah Lecture 2012
Other talksMultiple Description Coding Effective proof of the theorem of André on the complex multiplication points on curves Copiapoa The unitary Fermi Gas Targeting bioenergetics in hypoxic and rapidly growing tumours Understanding and exploiting the propagation of seismic surface waves in the heterogeneous earth.