A Part-of-speech tagger for Irish using Finite-State Morphology and Constraint Grammar Disambiguation
Year: 2006
Type: conference-paper
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.
Authors: E. Uí Dhonnchadha, J. Van Genabith
Institutions: Trinity College Dublin, Dublin City University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W8638706
