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In this letter, we propose a novel classification strategy called the coupled dictionary learning for target recognition in synthetic aperture radar (SAR) images. First, we train structured synthesis dictionaries to reflect the difference among each category. Second, we introduce a shared dictionary to reduce the effect of common features, such as the high similarity caused by specular reflection...
Morphological segmentation breaks words into morphemes. It is an important issue in natural language processing systems. The paper proposes a morphological segmentation method with hidden markov model method for Mongolian. The method uses sentences which consist of Mongolian words associated with affix sequences to establish a Hidden Markov Model. We identify Mongolian affix in a given word based...
This paper presents an optimizing morphological segmentation metric for statistical machine translation performance. Unlike previous morpheme segmentation work for getting greater linguistic accuracy we focus on factors such as consistency, coverage and granularity, which directly affect MT performance. We propose a novel combination of dictionary information and statistical model, taking advantage...
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