Mluvil

mluvil is a fictional open-source software library designed for natural language processing and multilingual data visualization. It presents a compact, modular processing pipeline intended for teaching, research prototyping, and demonstration projects. The library covers common NLP tasks such as tokenization, lemmatization, part-of-speech tagging, dependency parsing, and translation, together with visualization tools that illustrate linguistic structures and model outputs. Its emphasis is on simplicity, extensibility, and approachable API design for newcomers.

The name mluvil is a portmanteau of "multi-language understanding" and "visualization language," and it was created within a collaborative fiction project to illustrate concepts in NLP tooling. The associated mock releases describe conventions for API design, documentation, and testing, intended for educational use rather than practical deployment.

Architecture and features: mluvil uses a modular architecture with a central orchestrator and interchangeable components. The Python API exposes pipelines and processors as pluggable objects, with data exchanged as structured dictionaries. It supports basic CPU operation, optional acceleration for specific tasks, and export of results in lightweight formats such as JSON. Visualization components produce graphs and interactive views of processing results.

Applications and reception: In the fictional setting, mluvil appears in university courses, tutorials, and benchmarking scenarios. It is presented as a teaching tool rather than a production-ready system, with caveats about missing production-grade robustness, testing, and scalability found in mature NLP frameworks.