Covers syntactic structure, dependency parsing, and neural network transition-based parsing, highlighting the importance of dependency structure in linguistic analysis.
Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.
Explores the implementation of custom operators in a programming language, including syntax examples, precedence levels, parsing stages, and solutions like function overloading.
