PARALELISASI MAXIMUM ENTROPY PART OF SPEECH TAGGING UNTUK BAHASA INDONESIA DENGAN MAPREDUCE
Researches in natural languange processing indicated that more data led to better accuracy. Processing this large scale of data using single machine has its own limitation that can be handled by processing data in parallel. This research used MapReduce on part-of-speech (POS) tagging. MapReduce...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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