Supertagging: an approach to almost parsing
Computational Linguistics
Tagging inflective languages: prediction of morphological categories for a rich, structured tagset
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Serial combination of rules and statistics: a case study in Czech tagging
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Automatic tagging of Arabic text: from raw text to base phrase chunks
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Tagging Icelandic text using a linguistic and a statistical tagger
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Correcting a PoS-tagged corpus using three complementary methods
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Learning to case-tag modern greek text
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Feature-rich part-of-speech tagging for morphologically complex languages: application to Bulgarian
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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Data driven POS tagging has achieved good performance for English, but can still lag behind linguistic rule based taggers for morphologically complex languages, such as Icelandic. We extend a statistical tagger to handle fine grained tagsets and improve over the best Icelandic POS tagger. Additionally, we develop a case tagger for non-local case and gender decisions. An error analysis of our system suggests future directions.