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Maya Semantic Technique A Mathematical Technique Used to Determine Partial Semantics for Declarative Sentences
<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9639" mdate="2008-06-21 00:00:00"> <author>Marcia T. Mitchell</author> <title>Maya Semantic Technique A Mathematical Technique Used to Determine Partial Semantics for Declarative Sentences</title> <pages>2194 - 2207</pages> <year>2008</year> <volume>2</volume> <number>6</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/9639</ee> <url>https://publications.waset.org/vol/18</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This research uses computational linguistics, an area of study that employs a computer to process natural language, and aims at discerning the patterns that exist in declarative sentences used in technical texts. The approach is mathematical, and the focus is on instructional texts found on web pages. The technique developed by the author and named the MAYA Semantic Technique is used here and organized into four stages. In the first stage, the parts of speech in each sentence are identified. In the second stage, the subject of the sentence is determined. In the third stage, MAYA performs a frequency analysis on the remaining words to determine the verb and its object. In the fourth stage, MAYA does statistical analysis to determine the content of the web page. The advantage of the MAYA Semantic Technique lies in its use of mathematical principles to represent grammatical operations which assist processing and accuracy if performed on unambiguous text. The MAYA Semantic Technique is part of a proposed architecture for an entire webbased intelligent tutoring system. On a sample set of sentences, partial semantics derived using the MAYA Semantic Technique were approximately 80 accurate. The system currently processes technical text in one domain, namely C&amp;micro; programming. In this domain all the keywords and programming concepts are known and understood. </abstract> <index>Open Science Index 18, 2008</index> </article>