SLAPMAN develops and integrates streaming language technology modules for processing, analyzing, and exploiting unstructured or semi-structured process data from manufacturing. These include adapters for textual data sources, such as production plans from MES systems, machine status data, or error logs, as well as pipeline elements for natural language processing. Planned functionalities include tokenization, language detection, domain-specific named entity recognition, word embeddings, translation, and the enrichment of natural-language input. A particular focus is placed on a learning component that can quickly adapt existing models to new machines, processes, or domain-specific text corpora using few-shot learning. The components are implemented as standalone microservices, made available as plugins in Apache StreamPipes, and can be combined into analytics pipelines via a graphical user interface. For integration into the European Language Grid, the modules are provided as cloud-native, Kubernetes-compatible services using Helm charts.