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This paper first gives an overview on interactive-predictive machine translation systems. In such systems, the human translator translates the text while the machine provides completion to it. The user is given options to accept either the entire or a part of the suggested completion. Moreover, the user is also permitted to skip the suggestions and continue typing. Thereafter, we focus on TransType2...
Reduced Reference Video Quality Assessment (RRVQA) methods estimate the amount of distortion in the distorted video using particular information from the original video. In this paper we propose a RRVQA based on the importance of the human perception of motion in the video. As we know from, objects' motion with different speeds has different attractions for human. We have developed a weighting map...
Interaction of human and computer agents should be harmonized by adapting the automation level of the IT systems to maintain a high performance for the system in changing environmental conditions. This research presents an expert system for the realization of adaptive autonomy (AA), using Petri Net (PN), referred to as AAPNES, based on practical list of environmental conditions and superior experts'...
The aim of this paper is to analyze the Farsi-English statistical machine translation systems as a useful communication tool. Improvement of the nation's communication increases the need of easier way of translating between different languages in front of expensive human translators. In this work, a statistical phrase-based system is run on Farsi - English pair languages and the effect of its parameters...
Word and concept similarity assessment is one of the most important elements in natural language processing and information and knowledge retrieval. WordNet, as a popular concept hierarchy, is used in many such applications. Similarity of words in WordNet is also considered in recent researches. One of the new researches that uses WordNet, has calculated similarity between each two words by considering...
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