DOI: https://doi.org/10.15368/theses.2009.87
Available at: https://digitalcommons.calpoly.edu/theses/137
Date of Award
6-2009
Degree Name
MS in Computer Science
Department/Program
Computer Science
Advisor
Franz Kurfess
Abstract
A system is proposed which separates clauses from complex sentences into simpler stand-alone sentences. This is useful as an initial step on raw text, where the resulting processed text may be fed into text-to-text applications such as Automatic Summarization, Question Answering, and Machine Translation, where complex sentences are difficult to process. Grammatical natural language transformations provide a possible method to simplify complex sentences to enhance the results of text-to-text applications. Using shallow parsing, this system improves the performance of existing systems to identify and separate marked and unmarked embedded clauses in complex sentence structure resulting in syntactically simplified source for further processing.