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Among dependency parsing algorithms available in MALTParser and MSTParser, the best accuracy for parsing Indonesian language is achieved by Chu-Liu-Edmonds algorithm. This is due to the long distance relation between head and dependent in Indonesian sentences. Most of inaccuracy parsing results is caused by the non-verb sentence root score where there are many cases in Indonesian sentence having a...
A stemmer is a basic natural language processing tool that is widely used for many text based applications such as information retrieval or question answering engine. Existing Indonesian stemmer gives only one alternative of word result which is a deterministic way even though the problem is shown as a non deterministic. The existing algorithm selects only the first fit morphology rule defined in...
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