Adapting to Learner Errors with Minimal Supervision

This article considers the problem of correcting errors made by English as a Second Language writers from a machine learning perspective, and addresses an important issue of developing an appropriate training paradigm for the task, one that accounts for error patterns of non-native writers using min...

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Bibliographic Details
Main Authors: Alla Rozovskaya, Dan Roth, Mark Sammons
Format: Article
Language:English
Published: The MIT Press 2017-09-01
Series:Computational Linguistics
Online Access:http://dx.doi.org/10.1162/coli_a_00299