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Towards Data-Driven Style Checking: An Example for Law Texts


Kyoko, Sugisaki (2016). Towards Data-Driven Style Checking: An Example for Law Texts. In: 29th International Conference on Legal Knowledge and Information Systems (Jurix), Nice, December 2016 - December 2016.

Abstract

We present a novel approach to detecting syntactic structures that are inadequate for their domain context. We define writing style in terms of the choices between alternatives, and conducted an experiment in the legislative domain on the syntactic choice of nominalization in German, i.e. complex noun phrase vs. relative clause. In order to infer the stylistic choices that are conventional in the domain, we capture the contexts that affect the syntactic choice. Our results showed that a data-driven binary classifier can be a viable method for modelling syntactic choices in a style-checking tool.

Abstract

We present a novel approach to detecting syntactic structures that are inadequate for their domain context. We define writing style in terms of the choices between alternatives, and conducted an experiment in the legislative domain on the syntactic choice of nominalization in German, i.e. complex noun phrase vs. relative clause. In order to infer the stylistic choices that are conventional in the domain, we capture the contexts that affect the syntactic choice. Our results showed that a data-driven binary classifier can be a viable method for modelling syntactic choices in a style-checking tool.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:December 2016
Deposited On:09 Dec 2016 11:56
Last Modified:27 Aug 2017 15:03
Publisher:s.n.
Publisher DOI:https://doi.org/10.3233/978-1-61499-726-9-93

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