Article | Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden | Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
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Title:
Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
Author:
Miikka Silfverberg: Department of Linguistics, University of Colorado, USA Mans Hulden: Department of Linguistics, University of Colorado, USA
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden
Issue:
135
Article no.:
018
Pages:
140-145
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-05-29
ISBN:
978-91-7685-501-0
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Newer incarnations of the Universal Dependencies (UD) resources feature rich morphological annotation on the wordtoken level as regards tense, mood, aspect, case, gender, and other grammatical information. This information, however, is not aligned to any part of the word forms in the data. In this work, we present an algorithm for inferring this latent alignment between morphosyntactic labels and substrings of word forms. We evaluate the method on three languages where we have manually labeled part of the Universal Dependencies data—Finnish, Swedish, and Spanish—and show that the method is robust enough to use for automatic discovery, segmentation, and labeling of allomorphs in the data sets. The model allows us to provide a more detailed morphosyntactic labeling and segmentation of the UD data.

Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Miikka Silfverberg, Mans Hulden
Title:
Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
References:

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Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Miikka Silfverberg, Mans Hulden
Title:
Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
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