Abstract
Morphological case tagging is essential for the identification of the syntactic and semantic roles of sentence constituents in most inflectional languages. Although it is usually viewed as a side-task of general tagging applications, it is addressed in the present work as an individual, stand-alone application. Supervised learning is applied to Modern Greek textual data in order to case-tag declinable words using merely elementary lexical information and local context. Several experiments with various context window sizes, as well as base- and meta-learning schemata, were run with promising results.
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Koursoumis, A. et al. (2012). Learning to Case-Tag Modern Greek Text. In: Maglogiannis, I., Plagianakos, V., Vlahavas, I. (eds) Artificial Intelligence: Theories and Applications. SETN 2012. Lecture Notes in Computer Science(), vol 7297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30448-4_45
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DOI: https://doi.org/10.1007/978-3-642-30448-4_45
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