Overview

Computational Linguistics with R: From Corpora to Transformers bridges the worlds of linguistic theory, statistical modeling, and modern deep learning in a uniquely R-centered workflow. Designed for researchers, data scientists, and language enthusiasts, this book provides a complete journey through the evolution of computational linguistics - from classical corpus analysis and stylometry to transformer-based NLP and multilingual AI. Readers will learn how to: Build, clean, and explore linguistic corpora in R. Apply statistical models for collocations, concordances, and authorship attribution. Integrate word embeddings and neural models alongside traditional metrics. Use transformers (BERT, GPT, mT5) for advanced NLP tasks such as translation, summarization, and cross-lingual analysis. Conduct morphological and syntactic analysis for diverse languages, including under-resourced and code-switched data. Ensure ethical, reproducible, and interpretable NLP pipelines with RMarkdown and explainable AI tools. With hands-on examples, reproducible code, and insights into both theory and application, this book demonstrates how R can serve as a powerful bridge between linguistics and machine learning. Whether you're exploring linguistic structures, building multilingual models, or teaching NLP in an academic setting, this book is your guide to hybrid, transparent, and future-ready workflows.

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