Paper: Generating Learner-Like Morphological Errors in Russian

ACL ID C10-1030
Title Generating Learner-Like Morphological Errors in Russian
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

To speed up the process of categorizing learner errors and obtaining data for lan- guages which lack error-annotated data, we describe a linguistically-informed method for generating learner-like mor- phological errors, focusing on Russian. We outline a procedure to select likely er- rors, relying on guiding stem and suffix combinations from a segmented lexicon to match particular error categories and rely- ing on grammatical information from the original context.