Explores parsing text into trees using parser combinators in Scala, covering filtering, transforming, sequencing, alternatives, recursion, spaces handling, lexing, monadic nature, and for-notation.
Covers context-free grammars, including the definition of non-terminal and terminal symbols, rules for generating strings, and the concept of derivations.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Covers syntactic structure, dependency parsing, and neural network transition-based parsing, highlighting the importance of dependency structure in linguistic analysis.
