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RETEXT: Design of an extensible system for analysing and manipulating natural language

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RETEXT: Design of an extensible system for analysing and manipulating natural language

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Samenvatting

Natural Language Processing (nlp), a field of computer science, artificial intelligence, and linguistics concerned with the interaction between computers and human languages, is becoming more important in society. For example, search engines provide answers before being questioned, intelligence agencies detect threats of violence in text messages, and e-mail applications know if you forgot to include an attachment. Despite increased interest, web developers trying to solve nlp problems reinvent the wheel over and over. There are tools, especially for other platforms, such as in Python and Java, but they either take a too naïve approach1, or try to do everything. What is missing is a standard representation of the grammatical hierarchy of text and a standard for multipurpose analysis of natural language. Retext, the implementation introduced in this thesis, and other projects in the Retext family are a new approach to the syntax of natural text. Together they form an extensible system for multipurpose analysis of natural language in ecmaScript. The research question now is how can a specification and program, that exposes an api for text manipulation, based on use cases of developers on the web, be developed?

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OrganisatieHogeschool van Amsterdam
OpleidingCommunication and Multimedia Design
AfdelingMedia, Creatie en Informatie
Jaar2014
TypeBachelor
TaalEngels

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