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M Fachrurrozi
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Computer Science & IT Engineering

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Simplification Complex Sentences in Indonesia Language using Rule-Based Reasoning Rifka Widyastuti; M Fachrurrozi; Novi Yusliani
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

Complex sentence consist of two or more single sentence and one or more conjunctions. Complex sentences have many meaning, so that is quite difficult to be simplified because the results of simplification complex sentence does not match the original sentence. To solve this problem, this research using Rule-Based Reasoning method and Surface Expression Rules. Because Rule-Based Reasoning method can be adapted to the rules of surface expression that can look for patterns of complex sentences, so thus simplifying precise and accurate results. The results of researchis the Rule-Based Reasoning methods used in accordance with the accuracy of 93.8% and an assessment of questionnaires obtained values 76-100
Identification of Ambiguous Sentence Pattern in Indonesian Using Shift-Reduce Parsing M Fachrurrozi; Novi Yusliani; Muharromi Maya Agustin
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

In a sentence writing, mistakes often happened unconsciously by the writers that caused a sentence has double meaning. This research developed a software that can identify the pattern of ambiguous sentences in Bahasa using Shift Reduce Parsing. Input for this software is a single sentence in Bahasa. This research involved three preprocessing namely case folding, tokenizing, and Part of Speech (POS) Tagging. Then the result of preprocessing used in identifying ambiguous sentence. In the process of identifying ambiguous sentences, Shift Reduce Parsing used to the parsing’s result of a sentence. As the result, this software that can differentiate whether if it is an ambiguous sentence or not. Accuracy of identifying the pattern of ambiguous sentence in Bahasa using Shift Reduce Parsing reaches 83%.
Co-Authors Muharromi Maya Agustin Novi Yusliani Rifka Widyastuti