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Verbal morphosyntactic disambiguation through topological field recognition in German-language law texts

Sugisaki, Kyoko; Höfler, Stefan (2013). Verbal morphosyntactic disambiguation through topological field recognition in German-language law texts. In: Mahlow, Cerstin; Piotrowski, Michael. Systems and Frameworks for Computational Morphology. Berlin Heidelberg: Springer, 136-147.

Abstract

The morphosyntactic disambiguation of verbs is a crucial pre-processing step for the syntactic analysis of morphologically rich languages like German and domains with complex clause structures like law texts. This paper explores how much linguistically motivated rules can contribute to the task. It introduces an incremental system of verbal morphosyntactic disambiguation that exploits the concept of topological fields. The system presented is capable of reducing the rate of POS-tagging mistakes from 10.2% to 1.6%. The evaluation shows that this reduction is mostly gained through checking the compatibility of morphosyntactic features within the long-distance syntactic relationships of discontinuous verbal elements. Furthermore, the present study shows that in law texts, the average distance between the left and right bracket of clauses is relatively large (9.5 tokens), and that in this domain, a wide context window is therefore necessary for the morphosyntactic disambiguation of verbs.

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Physical Sciences > General Computer Science
Physical Sciences > General Mathematics
Language:English
Date:2013
Deposited On:18 Jul 2013 08:55
Last Modified:27 Oct 2024 04:47
Publisher:Springer
Series Name:Communications in Computer and Information Science
Number:380
ISSN:1865-0929
Funders:Swiss National Science Foundation
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-642-40486-3_8
Related URLs:http://sfcm.eu/sfcm2013/
Project Information:
  • Funder: SNSF
  • Grant ID:
  • Project Title: Swiss National Science Foundation

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