Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/56635
Type of publication: Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Filologija / Philology (H004)
Author(s): Kapočiūtė-Dzikienė, Jurgita;Nivre, Joakim;Krupavičius, Algis
Title: Lithuanian dependency parsing with rich morphological features
Is part of: SPMRL'2013 : proceedings of the fourth workshop on statistical parsing of morphologically rich languages, October 18-21, 2013, Seattle, Washington, USA. Stroudsburg : Association for computational linguistics, 2013
Extent: p. 12-21
Date: 2013
ISBN: 9781937284978
Abstract: We present the first statistical dependency parsing results for Lithuanian, a morphologically rich language in the Baltic branch of the Indo-European family. Using a greedy transition-based parser, we obtain a labeled attachment score of 74.7 with gold morphology and 68.1 with predicted morphology (77.8 and 72.8 unlabeled). We investigate the usefulness of different features and find that rich morphological features improve parsing accuracy significantly, by 7.5 percentage points with gold features and 5.6 points with predicted features. As expected, CASE is the single most important morphological feature, but virtually all available features bring some improvement, especially under the gold condition
Internet: https://www.aclweb.org/anthology/W13-4902.pdf
Affiliation(s): Kauno technologijos universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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