POS disambiguation and unknown word guessing with decision trees

Giorgos Orphanos, Dimitris Christodoulakis · 1999

This paper presents a decision-tree approach to the problems of part-of-speech disambiguation and unknown word guessing as they appear in Modern Greek, a highly inflectional language. The learning procedure is tag-set independent and reflects the linguistic reasoning on the specific problems. The decision trees induced are combined with a high-coverage lexicon to form a tagger that achieves 93, 5% overall disambiguation accuracy.

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