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Related lectures (6)
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The Future: Computational Linguistics and Deep Learning
Explores the influence of computational linguistics on deep learning architectures, covering grammar formalisms, connectionism, variable binding, and future directions.
Introduction to Grammars
Introduces automata, regular languages limitations, context-free grammars, and balanced parentheses grammars.
Syntactic Parsing and Graph2Graph Transformers
Covers syntactic parsing, dependency grammar, and graph-based neural network parsing.
Parsing: CYK Algorithm
Explores formal grammars, parsing algorithms, CYK algorithm efficiency, and syntactic correctness in Natural Language Processing.
Context-Free Grammars
Covers context-free grammars, their equivalence to pushdown automata, and the hierarchy of grammar types.
Grammars and Parsers: An Overview of Language Processing
Provides an overview of grammars and parsers in computer language processing.
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