A System for Natural Language Unmarked Clausal Transformations in Text-to-Text Applications

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.

Name thesis:degree_name

MS in Computer Science

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2009

Author dc:creator

• Miller, Daniel

Contributors dc:contributor

• Franz Kurfess

• Natural Language Processing
• Natural Language
• Information Retrieval
• Other Computer Engineering

Identifier

10.15368/theses.2009.87

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-1149