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
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Unsupervised discovery of morphemes
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Aligning and using an English-Inuktitut parallel corpus
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Word alignment for languages with scarce resources
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Nukti: English-Inuktitut word alignment system description
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Models for Inuktitut-English word alignment
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
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We evaluate the performance of an morphological analyser for Inuktitut across a medium-sized corpus, where it produces a useful analysis for two out of every three types. We then compare its segmentation to that of simpler approaches to morphology, and use these as a pre-processing step to a word alignment task. Our observations show that the richer approaches provide little as compared to simply finding the head, which is more in line with the particularities of the task.