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The main purpose of this study is to observe the accuracy improvement of algorithm hybridization and to select which combination among candidate algorithms can provide the best improvement in breast cancer diagnosis. The classifier candidates are Naïve Bayes, Sequential Minimal Optimization, Multilayer Perceptron, C4.5, and Rough Sets. The selection of classifier combination is based on two major...
The Internet provides most information in English language. However, most people are non-English speaker. Hence, it will be a great advantage for the people to have reliable machine translation. The expectation from the Machine Translation (MT) is sentences translation in a natural way based on the contexts.
In this work, annotated disjunct (ADJ) is utilized to create transfer rules for machine translation (MT) system. The transfer rules are employed to build English to Indonesian MT system as a platform to test the developed transfer rules. The paper also explains a comparison of the system with two proprietary software.
In this paper, a machine translation (MT) model using the link grammar (LG) formalism is introduced. The contribution to this formalism is by developing a hybrid of direct and rule-based translation model which is suitable for translating a source language text with its parser into target language text with no grammar formalism and corpus yet. This model can theoretically handle one-to-one, many-to-one,...
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