Technical documentation requires a specific sublanguage by convention and regulation, which poses a challenge when different technical writers must create new documents in a coherent manner. So far, our client employs rule-based systems that enforce consistent structure and style, which can only detect problems that trigger manually-created style checking rules.

In a joint research phase, LangTec will now develop the proof of concept for an authoring support system that offers text completion features in document creation without the need to specify any explicitly defined rules up-front.

The goal of this AI project is to support technical writers by reducing any repetitive manual work. The central task will be to suggest the most fitting continuation of sentences when creating new technical documents. LangTec will select one of the the available very large language models, perform a domain-specific finetuning based on a large number of existing documents, and formally evaluate the resulting model’s prediction accuracy.