Advancing digitalization is causing a rapid increase in the amount of available text-based data, the growth of which is constantly accelerating. It is therefore no easy task to prepare, process and analyze this overwhelming amount of information and data.
We offer sophisticated natural language processing (NLP) software solutions as an effective tool for the automated processing of natural language texts. This technology has great potential for making business processes more efficient, resource-efficient, and cost-effective. The central technical component here is language models, which are also available in multilingual versions.
If unstructured data repositories make it difficult to find relevant information and the specification of precise keywords in a search query is not practically possible or desired, then NLP language models (e.g. as an additional search option) can enable a flexible search that compares the meaning of the search query with the information from the data repository and presents those results that are semantically most similar to the search query. Furthermore, the language models can be adapted to a domain-specific language.
NLP methods can automatically analyze and check natural language text and prepare it for further processing steps. It is also possible to assign instances or information to a text according to its meaning, such as assigning a customer inquiry to the responsible department or assigning the relevant legal texts to a described situation. The automation of repetitive tasks allows employees to focus on their core competencies.
If a lot of text-based data is generated in day-to-day business processes and only a certain proportion of the content of this data is crucial depending on the processes involved, language models can be trained to automatically extract the relevant information.
Another typical NLP application enables the automatic translation of text-based data from one language into another.
The aim of the project is to reliably translate natural language requirements for technical systems into a machine-readable form. Various NLP tools – including open-source systems with OHB Digital Services as the knowledge carrier – are to be applied to natural language requirements from real space projects. The project is funded by the Federal Ministry for Economic Affairs and Climate Protection as part of the National Space and Innovation Program and receives technical and administrative support from the German Space Agency at DLR.
The core of this research project is a domain-specific semantic search engine that, in the context of space-related requirements documents, takes into account the meaning of individual words in a text, in contrast to conventional keyword-based searches. This modular software solution enables users to search for documents and specific information without having to enter specific keywords. This allows employees to find the documents they need without having to resort to expert knowledge and without having to search through (unstructured) data storage systems.
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