A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Inducing a semantically annotated lexicon via EM-based clustering
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences
Computational Linguistics
Deterministic dependency parsing of English text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Generalizing over lexical features: selectional preferences for semantic role classification
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Generating confusion sets for context-sensitive error correction
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
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The correct choice of words has proven challenging for learners of a second language and errors of this kind form a separate category in error typology. This paper focuses on one known example of two verbs that are often confused by non-native speakers of Germanic languages, to make and to do. We conduct experiments using syntactic information and immediate context for Dutch and English. Our results show that the methods exploiting syntactic information and distributional similarity yield the best results.