Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
Perseus 1.0 Manual: Interactive Sources and Studies on Ancient Greece
Perseus 1.0 Manual: Interactive Sources and Studies on Ancient Greece
Unsupervised learning of the morphology of a natural language
Computational Linguistics
Computer-assisted morphological analysis of ancient Greek
COLING '73 Proceedings of the 5th conference on Computational linguistics - Volume 2
Memory-based morphological analysis
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Minimally supervised morphological analysis by multimodal alignment
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A probabilistic model for guessing base forms of new words by analogy
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearest-neighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek.