Abstract
English WordNet is an important synonym set to present the similarity of meanings between words. Synonym Set is built using Oxford Thesaurus which is accessed through lexico.com, which is a part of the lexical database that will be used. After using the extraction process through Oxford Thesaurus it will produce a synonym set with the same meaning between words. The difference between WordNet and ordinary dictionaries is that the word is interconnected with other words. One method employed for this approach is Robust Clustering Using Links method, which is similarity values and synonym sets that have been created to be used to build a lexical database. Therefore the main purpose of the development of the English WordNet is to produce an accurate synonym set using clustering techniques. The evaluation calculation will use the F-measure method and will use the gold standard for the calculation method. With the ROCK method, there is an increase in accuracy output from dataset input. Building the English wordnet is to improve words that can be used to help research and development of other language wordnets with role models using more accurate English wordnets. And the use of ROCK method there is an increase in the accuracy upon results of the development of English wordnet compared to the previous method, which is using hierarchical clustering. The outcome of this study resulted in improved accuracy so that the ROCK method is one of the good methods used in the development of the English wordnet.
Highlights
With the rapid development in this technological era, the need to find accurate and fast information becomes even greater (Gunawan & Saputra, 2010), even the use of computers and the internet is becoming common for daily activities in the fields of research and education are not much different
In this study several methods will be used to calculate word equations in English wordnet using the ROCK method that will assist in its development, the following methods will be used 1
Which from previous method did not occur the results of calculations using word comparisons between max goodness values that produce a synset result
Summary
With the rapid development in this technological era, the need to find accurate and fast information becomes even greater (Gunawan & Saputra, 2010), even the use of computers and the internet is becoming common for daily activities in the fields of research and education are not much different. The information needs of words that are used every day will usually be contained in a language dictionary but the language dictionary does not provide word synonyms (Samhith et al, 2016). Because of that English WordNet was made to assist in providing information automatically by searching for techniques or searching arranged in alphabetical order (Fellbaum & Miller, 1998). Wordnet itself was first developed by Princeton University which aims to accommodate native English speakers by lexical modelling (Gelbukh, 2007). In English, a word has one or more meanings. Words are grouped according to their meaning into a synonym set or synset (Chen et al, 2009). Synset is a part that is formed in the early stages of building a lexical
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