Gracias: grammar analysis using augmented transition networks

Date of Publication

1990

Document Type

Master's Thesis

Degree Name

Master of Science in Teaching in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Defense Panel Chair

Marilou C. Jopillo

Defense Panel Member

Reynaldo Villafuerte
Patricia Marz R. Claudio

Abstract/Summary

Grammar analysis is one important application of natural language processing (NLP), a field in artificial intelligence that is concerned with enabling man to communicate directly with the computer using his own natural language. The main objective addressed by this study is the development of a processor for the English language with grammar-checking capabilities. The study involved analyzing the basic syntax and semantic structures of the English language and representing these using a suitable notation. An integrated grammar-checking system has been developed, using natural language processing concepts. Aside from the grammar analyzing facility, this system includes a built-in text editor, file management routines and dictionary maintenance facilities. The syntax notations were represented using augmented transition networks (ATNs), an NLP processing approach based on state-transition diagrams. It is recommended that the sentence constructs that may be derived as outputs of the system may be used as inputs to other NLP systems that perform more complicated tasks, like language translation.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG01772

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

263 leaves; 28 cm.

Keywords

Natural language processing (Computer science)

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