TAILIEUCHUNG - ANALYSIS OF NAMES OF ORGANIC CHEMICAL COMPOUNDS BY USING PARSER COMBINATORS AND THE GENERATIVE LEXICON THEORY

According to Figure 7 a total of 56% of the respondents have ever consumed organic foods in the Transkei while 66% have ever considered consuming organic food. A total of 5% of the consumers have not consumed or considered to consume organic food. A total of 29% of the consumers in the Transkei did not know. In the Ciskei, of the consumers had ever consumed organic food, had considered ever consuming organic food while had not consumed or considered consuming organic food. A total of did not know (Figure 7) | International Journal of Artificial Intelligence Applications IJAIA October 2011 Analysis of Names of Organic Chemical Compounds by Using Parser Combinators and the Generative lexicon Theory Márcio de Souza Dias1 Rita Maria Silva Julia2 and Eduardo Costa Pereira3 department of Computer Science Federal University of Goiás Catalão-Goiás Brazil 2College of Computation Federal University of Uberlândia Uberlândia - Minas Gerais Brazil rita@ 3FEELT Federal University of Uberlândia Uberlândia - Minas Gerais Brazil costa@ Abstract This work proposes OCLAS Organic Chemistry Language Ambiguity Solver an automatic system to analyze syntactically and semantically Organic Chemistry compound names and to generate the pictures of their chemical structures. If both parses detect that the input name corresponds to a theoretically possible organic chemical compound the system generates its molecular structure picture whether or not the name respects the current official nomenclature. This capacity of treating even names which in spite of do not respect the constraints of the official nomenclatures correspond to theoretically possible organic compound represents an advance of OCLAS compared to other existing systems. OCLAS counts on the following tools Generative Lexicon Theory GLT Parser Combinators and the Language Clean and an extension of the Xymtec package of Latex. The implemented system represents a helpful and friendly utilitarian as an automatic Organic Chemistry instructor. Keywords Automatic Tutors for Organic Chemistry Nomenclature Lexical Ambiguity Computational Linguistics Generative Lexicon Theory and Parser Combinators. 1. Introduction All languages have ambiguities. In fact some ambiguities are equivalent to paradoxes in logic systems. However there are a few languages that come very close to eliminate all ambiguities due to syntaxes morphology and meaning direct semantics . These languages are either artificial or .

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