Development of Diachronic Terminology from Japanese Statutory Corpora

Makoto Nakamura, Yasuhiro Ogawa, Katsuhiko Toyama

Abstract


This paper reports our ongoing research on the development of diachronic legal terminology, which deals with temporal changes in legal terms. We started by compiling statutory corpora for them. Focusing on articles that define legal terms, we defined a set of regular expression rules. Our experimental result showed that we successfully extracted legal terms, their explanations, and their relations. Our terminology consists of 26,661 terms and 35,201 relations, in which the precision of the relations was 88.0\% with 100 samples chosen at random. Graphical output will enrich our understanding of the dynamics of legal terms.

References


Ando, M., Sekine, S., and Ishizaki, S. (2004). Automatic Extraction of Hyponyms from Japanese Newspapers Using Lexico-syntactic Patterns. In Proceedings of the Forth International Conference on Language Resources and Evaluation, pages 387–390.

Hearst, M. A. (1992). Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th conference on Computational linguistics, volume 2, pages 539–545, Stroudsburg, PA, USA. Association for Computational Linguistics.

Ho ̈fler, S., Bu ̈nzli, A., and Sugisaki, K. (2011). Detecting Legal Definitions for Auto- mated Style Checking in Draft Laws. Technical Report CL-2011.01, University of Zurich, Institute of Computational Linguistics.

Kageura, K. (2002). The Dynamics of Terminology. John Benjamins.

Kawachi, G., Nakamura, M., Ogawa, Y., Ohno, T., and Toyama, K. (2015). Daily News on Japanese Legislation toward Global Sharing of Japanese Legal

Information. Journal of Open Access to Law, 3(1):19 pages.

Lame, G. (2005). Using NLP Techniques to Identify Legal Ontology Components: Concepts and Relations. In Law and the Semantic Web, LNAI3369, pages 169–

Springer.

Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., and Miller, K. J. (1990).

Introduction to WordNet: An On-line Lexical Database. Journal of Lexicography,

(4):235–244.

Nakamura, M., Ogawa, Y., and Toyama, K. (2014a). Extraction of Legal Definition

and Their Explanations with Accessible Citations. In Casanovas, P., editor, AI Approaches to the Complexity of Legal Systems IV, volume 8929 of LNAI, pages 157–171. Springer, Berlin.

Nakamura, M., Ohno, T., Ogawa, Y., and Toyama, K. (2014b). Acquisition of hyponymy relations for agricultural terms from a Japanese statutory corpus. Information Processing in Agriculture, 1(2):95–104.

Winkels, R. and Hoekstra, R. (2012). Automatic Extraction of Legal Concepts and Definitions. In Legal Knowledge and Information Systems - JURIX 2012: The Twenty-Fifth Annual Conference, pages 157–166.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.