NLP in Practice: From Corpus Linguistics to RAG with Python

Name: NLP in Practice: From Corpus Linguistics to RAG with Python
Location: Universidad EAFIT

FORMAT: WorkshopLEVEL: Intermediate LANGUAGE: Spanish

Bridge the gap between traditional corpus linguistics and modern Retrieval-Augmented Generation (RAG) systems. In this workshop, researchers and developers will learn how classical NLP techniques—corpus analysis, tokenization, and annotation—can inform and improve RAG implementations. We'll use Python to build a pipeline that takes a text corpus from raw collection through linguistic analysis to a queryable RAG system, demonstrating how academic NLP foundations enhance practical AI applications.

Speakers

Biviana Marcela Suárez Sierra

Researcher @ Universidad EAFIT

Biviana Marcela is a researcher at Universidad EAFIT bridging the gap between traditional corpus linguistics and modern NLP techniques. She applies Python-based tools to analyze large text collections and build intelligent retrieval systems, combining academic linguistic rigor with practical AI engineering.

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Dora Cecilia Alzate Gallo

Researcher @ Universidad EAFIT

Dora Cecilia is a researcher at Universidad EAFIT specializing in computational linguistics and natural language processing. Her work focuses on applying RAG architectures to linguistic research and knowledge extraction tasks, bringing a deep understanding of language structure to modern AI systems.

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