Parsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for morphological analysis and disambiguation (MA&D) of typologically different languages as a first tier. MA&D is particularly challenging in morphologically rich languages (MRLs), where the ambiguous space-delimited tokens ought to be disambiguated with respect to their constituent morphemes. Here we present a novel, language-agnostic, framework for MA&D, based on a transition system with two variants, word-based and morpheme-based, and a dedicated transition to mitigate the biases of variable-length morpheme sequences. Our experiments on a Modern Hebrew case study outperform the state of the art, and we show that the morpheme-based MD consistently outperforms our word-based variant. We further illustrate the utility and multilingual coverage of our framework by morphologically analyzing and disambiguating the large set of languages in the UD treebanks.
|Title of host publication||COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016|
|Subtitle of host publication||Technical Papers|
|Publisher||Association for Computational Linguistics, ACL Anthology|
|Number of pages||12|
|State||Published - 2016|
|Event||26th International Conference on Computational Linguistics, COLING 2016 - Osaka, Japan|
Duration: 11 Dec 2016 → 16 Dec 2016
|Name||COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers|
|Conference||26th International Conference on Computational Linguistics, COLING 2016|
|Period||11/12/16 → 16/12/16|
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