Pythonaibrain-NLP 0.2.0 Launches on PyPI with Modular NLU and NLG Pipeline

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Developer Divyanshu Sinha has released version 0.2.0 of Pythonaibrain-NLP, a Python natural language processing framework now publicly available on PyPI and GitHub. Unlike transformer-centric systems, the framework separates understanding, dialogue state, retrieval, and text generation into distinct, independently accessible components. Its NLU layer handles joint intent classification and slot filling, while a Semantically-Controlled LSTM drives the generation side for more predictable, intent-aligned responses. The system also supports multi-turn conversations by tracking slot memory, turn history, and dialogue context across exchanges. A lightweight TF-IDF retrieval module allows the pipeline to draw on local knowledge without replacing the core NLP components.

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