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Computational approaches in language identification often result in highnumber of false positivesand low recall rates, especially if the languages involved come from the same subfamily. In this paper, we aim to determine the cause of this problemby measuring language similarity through trigrams. Religious and literary texts were used as training data. Our(More)
Communication between different nations is essential. Languages which are foreign to another impose difficulty in understanding. For this problem to be resolved, options are limited to learning the language, having a dictionary as a guide, or making use of a translator. This paper discusses the development of ASEANMT-Phil, a phrase-based statistical machine(More)
Computer Vision has been used as an effective approach to developing cost-efficient traffic surveillance systems. Traffic surveillance systems are now used for vehicle detection, tracking, recognition and counting. However, performing these tasks are not easy especially when challenges in traffic arise such as varying lighting conditions, effect of shadows(More)
With the steady increase in the frequency of occurrences and intensity of natural calamities in recent years, the use of technology for disaster prevention and mitigation is becoming more prominent. Aerial surveillance is one way of monitoring the progression of events in disaster-stricken areas, one important aspect of which is conducting a search for(More)
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