NLPpipelinea
NLPpipelinea is a framework for constructing and executing modular natural language processing pipelines. It emphasizes clear interfaces between components, enabling swapping or extending modules without rewriting downstream code. It integrates common NLP tasks into a configurable sequence from data ingestion to result generation.
A typical NLPpipelinea includes stages such as data ingestion, text normalization, tokenization, sentence segmentation, part-of-speech tagging,
Advantages include modularity, reusability, and easier experimentation to compare models. It supports reproducibility through explicit configuration,
NLPpipelinea is used in research and industry to build pipelines for information extraction, question answering, multilingual