Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Sounding Language

Supports writers in formulating clear texts by assessing language level, marking difficult segments and suggesting improvements.

Last change on 16th of January 2025, at 16:54 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
DPIA
Status
In use

General information

Theme

Organisation and business operations

Begin date

11-2018

Contact information

dataloket@oss.nl

Responsible use

Goal and impact

Improve texts in clear & understandable language.

Better communication to citizens and businesses.

Considerations

Improving image and service quality.

Human intervention

The writer consciously chooses with which text, when and on which text section to use Sounding Language. The writer goes through the Klinkende Taal text markers and manually modifies the text taking into account the suggested suggestions. The writer decides whether and which suggestions to adopt.

Risk management

Klinkende Taal does not use generative AI. For the deployment of this particular tool, the Osse principles for using generative AI apply and should be followed.

Elaboration on impact assessments

DPIA is not necessary. There is no high privacy risk. None of the criteria mentioned by European privacy regulators apply.

Impact assessment

Data Protection Impact Assessment (DPIA): Niet noodzakelijk. Zie toelichting.

Operations

Data

Texts and standards of Dutch language levels

Technical design

The Sounding Language application is a plug-in in Word. It only checks the written text for grammar and writing style at the explicit request of the author in order to convert it to B1 level. It checks on the basis of 6 basic modules: Expensive words, technical terms, passive sentences, long sentences, complex sentences and long paragraphs.

External provider

Loo van Eck/ Gridline

Similar algorithm description

  • Based on language technology, personal and company names are read and filtered out of text files such as emails and individual documents.

    Last change on 14th of October 2024, at 10:47 (CET) | Publication Standard 1.0
    Publication category
    Other algorithms
    Impact assessment
    Field not filled in.
    Status
    In use