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The basic concept of machine translation is to translate one human language to another human language. Many translation systems have been built using different approaches which have different accuracy levels. In this paper, a work is being proposed for Syntax Based Machine Translation System from English to Hindi language. The Syntax Based Machine Translation System has the goal of incorporating an...
Historically, behavior-based computer security has relied on automatic classification of the activities of persons and programs to determine whether these activities should be restricted. In this paper, we argue that classification that relies exclusively upon observation of low-level events (either via signatures or anomalies) is insufficient to infer higher-level behavior correctly. However, ordering...
This paper describes the early stages of an experiment investigating the role of the computer as a creative collaborator in the game design process. We introduce the Shibumi set, a closed game system so simple that its rule space can be completely defined, yet deep enough to allow interesting games to emerge. Constraining the search space to such a closed system has computational benefits, but had...
Grammar inference is one of the NP-complete problems in machine learning. Most of the solutions in this field are not well suited for concurrent execution. The aim of this paper is to present a grid-enabled brute force grammar inference approach.
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