The Weakest Link: Detecting and Correcting Errors in Learner English
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There is a pre-theoretic intuition that stretches of text with low probability should correspond to errors of the type made by non-native writers. Unfortunately, perfectly well-formed text can be quite unlikely according to a contiguous n-gram model. I’ll describe how I built a dependency-structure model for English in which unlikelihood is a much better indicator of error and present some preliminary results.
This talk is part of the NLIP Seminar Series series.
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