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 has the great potential to make business processes more efficient, less resource-intensive and more cost-effective. The central technical components are the so-called language models, of which multilingual models are also available.
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 process steps. It is also possible to assign corresponding instances or information to a text according to its meaning, such as the responsible department for a customer inquiry or the relevant legal texts for a described issue. The automation of repetitive activities 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 the reliable automated translation of 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 German Federal Ministry for Economic Affairs and Climate Protection as part of the National Program for Space and Innovation 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 contrast to conventional keyword-based searches, takes into account the meaning of individual words in a text in the context of space-related requirements documents. This modular software solution makes it possible to search for documents and specific information without having to enter specific keywords. As a result, employees can find the required documents without having to rely on expert knowledge and do not have to search in (unstructured) data repositories.
OHB Digital Services GmbH
Konrad-Zuse-Str. 8
28359 Bremen
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