Language Technology

Computational Linguistics and Natural Language Processing. The features and properties of natural language. Morphological Processing. Regular Expressions. Finite State Automata and Finite State Transducers. Syntax. Grammar Development. Grammar Formalisms. The Chomsky Hierarchy. Parsing. Semantic Processing. Logical Form. Selectional restrictions. Semantic networks and Ontologies. Pragmatic Processing. Discourse Analysis. Anaphora Resolution. Part-of-speech tagging. Stochastic parsing. Grammar Induction. Word Sense Disambiguation. Natural Language Generation. Machine Translation. Information Extraction. The NLTK Natural Language Toolkit. Applications of Machine Learning in Language Technology.

Objectives

Computational Linguistics and Natural Language Processing.

Prerequisites

Non required

Syllabus

Computational Linguistics and Natural Language Processing. The features and properties of natural language. Morphological Processing. Regular Expressions. Finite State Automata and Finite State Transducers. Syntax. Grammar Development. Grammar Formalisms. The Chomsky Hierarchy. Parsing. Semantic Processing. Logical Form. Selectional restrictions. Semantic networks and Ontologies. Pragmatic Processing. Discourse Analysis. Anaphora Resolution. Part-of-speech tagging. Stochastic parsing. Grammar Induction. Word Sense Disambiguation. Natural Language Generation. Machine Translation. Information Extraction. The NLTK Natural Language Toolkit. Applications of Machine Learning in Language Technology.