TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Designing intelligent language tutoring systems for integration into foreign language instruction
Designing intelligent language tutoring systems for integration into foreign language instruction
Generating learner-like morphological errors in Russian
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
On Morphological Analysis for Learner Language, Focusing on Russian
Research on Language and Computation
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We outline a new ICALL system for learners of Russian, focusing on the processing needed for basic morphological errors. By setting out an appropriate design for a lexicon and distinguishing the types of morphological errors to be detected, we establish a foundation for error detection across exercises.