The Simplification of the Language of Public Administration: The Case of Ombudsman Institutions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ANE6YFPTH" target="_blank" >RIV/00216208:11320/25:NE6YFPTH - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195215390&partnerID=40&md5=86f56a3f2fa1b8d140b7f05815ef55a7" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195215390&partnerID=40&md5=86f56a3f2fa1b8d140b7f05815ef55a7</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

The Simplification of the Language of Public Administration: The Case of Ombudsman Institutions

Original language description

Language produced by Public Administrations has crucial implications in citizens’ lives. However, its syntactic complexity and the use of legal jargon, among other factors, make it difficult to be understood for laypeople and certain target audiences. The NLP task of Automatic Text Simplification (ATS) can help to the necessary simplification of this technical language. For that purpose, specialized parallel datasets of complex-simple pairs need to be developed for the training of these ATS systems. In this position paper, an on-going project is presented, whose main objectives are (a) to extensively analyze the syntactical, lexical, and discursive features of the language of English-speaking ombudsmen, as samples of public administrative language, with special attention to those characteristics that pose a threat to comprehension, and (b) to develop the OmbudsCorpus, a parallel corpus of complex-simple supra-sentential fragments from ombudsmen’s case reports that have been manually simplified by professionals and annotated with standardized simplification operations. This research endeavor aims to provide a deeper understanding of the simplification process and to enhance the training of ATS systems specialized in administrative texts. © 2024 ELRA Language Resource Association.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

DeTermIt! Eval. Text Diffic. Multiling. Context, DeTermIt! LREC-COLING - Workshop Proc.

ISBN

978-249381415-9

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

125-133

Publisher name

European Language Resources Association (ELRA)

Place of publication

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Event location

Torino, Italia

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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