Introduction to Quantitative Linguistics and Text Analysis

Language is rich, complex, and full of patterns, but how do we measure and analyze these patterns objectively? This text-based course introduces you to the foundational quantitative methods used to study language structure, vocabulary distribution, and textual data. You will transition from qualitative text observation to systematic, data-driven linguistic analysis. By reading through clear explanations and working with step-by-step written exercises, you will learn how to extract meaningful statistical insights from written corpora. What you'll learn: - Understand the fundamental principles of quantitative and corpus linguistics. - Apply statistical laws of language, including Zipf's Law and Heaps' Law, to real texts. - Analyze word frequencies, concordances, and collocations using systematic methods. - Practice basic text preprocessing, tokenization, and lemmatization techniques. - Explore modern data-driven approaches to lexical diversity and stylistic analysis. - Evaluate linguistic hypotheses using basic statistical significance testing. The course starts with essential terminology and the core concepts of quantitative linguistics before moving into practical text processing and statistical analysis. You will progress from simple word counts to advanced structural patterns through structured written guides and practical code snippets. Designed for beginners in linguistics, philology, or computer science, this course requires no prior background in advanced mathematics. Start exploring the hidden numerical patterns within language today.