Deep Processing Techniques for Natural Language Processing

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Course Details

This course can only be taken as part of the Certificate in Natural Language Technology.

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About this Course


Deep linguistic processing aims to extract meaning from natural language text in machine readable form. Deep linguistic processing is useful in applications that require precise identification of the relationships between entities and/or the precise meaning of the author, such as automated customer service response and machine reading for expert systems. Deep linguistic processing is also essential to the creation of natural language dialogue systems, which allow computers to understand and reply in natural language.

This course covers algorithms for using precision grammars to associate deep or elaborated linguistic structures with naturally occurring linguistic data (parsing) and to associate natural language strings with input semantic representations (generation). It also covers associated techniques for disambiguation (parse, generated string) and transfer (for symbolic machine translation).

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