Learning Path

Introduction to Natural Language Processing → Applications in NLP

This path covers the core algorithms used in natural language processing, from tokenization and stemming to probabilistic models like N-grams and the Viterbi algorithm. It builds a solid foundation in both the linguistic and algorithmic aspects, emphasizing the probability and algorithmic principles underlying these techniques. Designed for university students in AI or linguistics, it progresses from fundamental concepts to advanced applications.