Aneboin-en-1.01.7z

¹ Affiliation, Department, Institution, City, Country – email@domain.edu ² Affiliation, Department, Institution, City, Country – email@domain.edu Aneboin‑EN 1.01 is a lightweight, open‑source natural‑language processing (NLP) engine designed for rapid prototyping of multilingual text‑analytics pipelines. Distributed as the compressed archive ANEBOIN‑EN‑1.01.7z , the package bundles a C++ core, a Python‑binding layer, and a suite of pretrained models covering tokenisation, part‑of‑speech tagging, named‑entity recognition, and sentiment analysis for English and five additional languages. This paper documents the architectural decisions, implementation details, and empirical evaluation of Aneboin‑EN 1.01. Experiments on standard benchmark corpora (e.g., CoNLL‑2003, GLUE, and the Amazon Review dataset) demonstrate that Aneboin‑EN achieves competitive accuracy (≥ 95 % F1 on NER) while maintaining a runtime footprint under 150 MB and processing speed exceeding 1 M tokens · s⁻¹ on a single CPU core. The engine’s extensibility is illustrated through a case study that integrates a custom biomedical entity recogniser. The results confirm Aneboin‑EN’s suitability for both research and production environments where low latency and modularity are paramount.

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The plugin added overhead per sentence, well within real

Aneboin‑EN 1.01: Design, Implementation, and Evaluation of an Extensible Natural‑Language Processing Engine