Solving Ambiguities in Indonesian Words by Morphological Analysis Using Minimum Connectivity Cost

Uliniansyah, Mohammad Teduh; Ishizaki, Shun; Uchiyama, Kiyoko

doi:10.5715/jnlp.11.3

Cited by 4 publications

(2 citation statements)

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“…Ambiguous word is a word hat has a vague (unclear) nature, in Indonesian, there are a number of grammatical ambiguous words such as "bulan (moon/ month)". "Bulan" has two meanings, the first meaning is "an astronomical object orbitting the earth", and the second meaning means "a period of time" [6,7]. Grammatical ambiguous sentences would not pose a big problem when used in direct conversation, direct dialogue between humans, and sentences read by humans [8].…”

Section: Introductionmentioning

confidence: 99%

Detecting Indonesian ambiguous sentences using Boyer-Moore algorithm

et al. 2020

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Ambiguous sentences are divided into 3 types namely phonetic, lexical, and grammatical. This study focuses on grammatical ambiguous sentences, grammatical ambiguous sentences are ambiguities that occur due to incorrect grammar, but this ambiguity will disappear once it is used within a sentence. Ambiguous sentences become a big problem when they are processed by a computer. In order for the computer to interpret ambiguous words correctly, this study seeks to develop detection of Indonesian ammbiguous sentences using Boyer Moore algorithm. This algorithm matches ambiguous sentences that are inserted as input with the data set. Then the sentence is being detected whether it contains ambiguous sentences, by calculating the percentage of similarity using cosine similarity method. Cosine similarity system is able to find out the meaning of the sentence. In the data set, the number of ambiguous sentences that can be collected is 50 words. The 50 words consist of ambiguous words data, ambiguous sentences, and ambiguous sentence meanings. This system trial was carried out for 200 times and the accuracy level was 0.935, precision was 0.9320, and Recall was 0.8. While the F-Measure was 0.8061. While the speed for word search 0.003275 seconds

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Section: Introductionmentioning

confidence: 99%

Detecting Indonesian ambiguous sentences using Boyer-Moore algorithm

et al. 2020

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“…Different from conventional WSD systems where inputs are sentences including polysemous words,our system uses newspaper articles of a few years as its input.Articles containing polysemous words are first inputted into a morphological analysis system (Uliniansyah,Ishizaki, and Uchiyama 2004),and then its output is used as input into our system.…”

Section: Introductionmentioning

confidence: 99%

A Word Sense Disambiguation System Using Modified Naive Bayesian Algorithms for Indonesian Language

Uliniansyaht

Ishizaki

2005

Journal of Natural Language Processing

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It is common that a word in any natural language has often more than one meaning/sense.A word sense disambiguation(WSD)system is designed to determine which one of the senses of a polysemous word is invoked in a particular context around the word.We propose methods to disambiguate senses of polysemous words by using Naive Bayesian classifier method.A few sets of experiment data were taken from Kompas daily newspaper homepage and used for the system construction.We modified the original algorithm of Naive Bayesian method to apply it to the Indonesian language analysis.The experiments showed that our system achieved good accuracies(73-99%).

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