The Semantic Analysis of English Language Sentences by Using the Improved Data Mining Algorithms

Abstract

Proofreading the meanings of the natural languages is considered one of the main goals of
linguists and those who are interested in computational linguistics. That is because it has become essential
to check written texts on a computer in different areas..This paper presents a model for validate the meaning
of English sentences through generating semantic rules from a database which includes the most recurrent
words in the English language, based on one of the data mining algorithms, which is FP Growth
algorithm.This algorithm generates association rules between words, but those rules which result from the
FP Growth algorithm ignore the sequence of words which is considered an important issue in semantic
analisis. That is why the algorithm has been modified in order to get association rules which give importance
to the sequence of words, taking into consideration the time needed to get those rules and the memory needed
to store them.