Meaning-based Translation Using A Semantic Analyser To Resolve Word Sense Disambiguation

Meaning-based Translation Using A Semantic Analyser To Resolve Word Sense Disambiguation

This paper describes a meaning-based approach for automatic translation. It is based on semantic analyser and lexica-semantic dictionary. The approach works at clause level and focus on universal grammar. Predicate and arguments are the nucleus and the periphery ( number of arguments or valence). T...

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Bibliographic Details
Main Author: Mohamed Azzedine
Format: Article
Language:Arabic
Published: Scientific and Technological Research Center for the Development of the Arabic Language 2013-06-01
Series:Al-Lisaniyyat
Subjects:
Automatic Translation, Machine Translation, human Translation, Semantic Analyser, Word Sense Disambiguation, Lexical Analysis, Syntactic Analysis, Universal Grammar, Topic, Comment, Tail, Clause, Proposition, Predicate, Argument, Valence, Lexical-semantic dictionary.
Online Access:https://www.crstdla.dz/ojs/index.php/allj/article/view/476
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Summary:This paper describes a meaning-based approach for automatic translation. It is based on semantic analyser and lexica-semantic dictionary. The approach works at clause level and focus on universal grammar. Predicate and arguments are the nucleus and the periphery ( number of arguments or valence). Topic/Comment/Tail are the unit of communication. They are called Clause at syntactic level and Proposition at semantic level_ The ternary structure is universal and present at different level of the most of human languages.
ISSN:1112-4393
2588-2031

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