|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 listsEngineering Department Acoustics/Combustion Student seminars Indo-European Seminar CAPE Lecture Series
Other talksThe ageing lung, frailty and COPD Public Policy Seminar: A Strategy for the UK Steel Industry How ice sheets collapse: a lesson from the past Market Power and Spatial Arbitrage between Interconnected Gas Hubs Introduction to Madonnas and Miracles Time, space and disorder in the expanding protein universe