Language Testing with Congree: Efficient Rule Configuration for Greater Acceptance and Sustainable Quality

Our customers faced several challenges when implementing the new language check: The initial configuration was based on a simple mapping of the existing rules and resulted in inaccurate check results. Complex XML structures made paragraph recognition difficult, and the limited customization options during operation reduced flexibility. Additionally, the question arose regarding the optimal balance between quality and effort when choosing between a full linguistic analysis and incremental optimization. Dependence on IT infrastructure also required close coordination.

Etteplan developed a customized solution for implementing and optimizing the Congree language check. Working closely with the customers' editorial teams, company-specific rules were configured, user-specific dictionaries were built, and paragraph recognition was adapted to complex XML structures. Gradual optimization during ongoing operations enabled a cost-effective improvement in quality, while targeted tests and regression testing ensured the solution’s stability. At the same time, Etteplan provided technical project support, documented changes transparently, and coordinated communication with Congree. The result was a scalable, sustainable solution that can be flexibly adapted to editorial requirements and significantly increases acceptance among authors.

Through targeted rule configuration and linguistic analysis, Etteplan was able to significantly improve the quality of its language checking. The validation results became more precise and traceable, which noticeably increased acceptance among authors. At the same time, modular optimization enabled flexible adaptation to editorial requirements, even with complex XML structures. The combination of automated validation, structured test management, and user-specific dictionaries led to a sustainable improvement in quality while maintaining high cost efficiency.

With the introduction of Congree language checking and continuous rule optimization, our customers have a powerful tool for standardizing technical writing. The solution is scalable, sustainable, and efficiently supports multilingual writing teams. Clear processes, documented changes, and regular feedback loops ensure long-term quality - while maintaining high acceptance within the writing team.

The introduction of rule-based language checking with company-specific configurations creates a solid foundation for the use of AI-powered applications in the editorial department.

The clear rule structure and continuous optimization provide a reliable semantic foundation for future AI applications, such as automated quality assurance, text generation, or editorial support.