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Research on machine translation has a long history and many methods and techniques have been proposed and developed. However, low quality of translation is still a major problem and many related problems remain unresolved. Super function based machine translation was proposed to perform translation without going through syntactic and semantic analysis as many machine translation systems usually do...
This paper introduces fuzzy support vector machines (FSVMs) for Japanese dependency analysis. Japanese dependency analysis based on support vector machines (SVMs) has been proposed and has achieved high accuracy. While regular SVMs try to find a decision hyperplane from two distinct classes of the input examples, FSVMs apply a fuzzy membership to each input example such that different examples can...
This paper presents a novel method of recognizing location names from Chinese texts based on max-margin Markov Network (M3Net) owing to its ability to exploit very high dimensional feature spaces (using the kernel trick) while at the same time dealing with structured data compared with Support Vector Machine (SVM) and conditional random fields (CRFs). In our model, the character itself, character-based...
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