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A Part-of-speech tagger for Irish using Finite-State Morphology and Constraint Grammar Disambiguation
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)
Abstract
This paper describes the methodology used to develop a part-of-speech tagger for Irish, which is used to annotate a corpus of 30 million words of text with part-of-speech tags and lemmas. The tagger is evaluated using a manually disambiguated test corpus and it currently achieves 95% accuracy on unrestricted text. To our knowledge, this is the first part-of-speech tagger for Irish.