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Selectional preference (SP) is an important semantic knowledge. It can be used in various natural language processing tasks, including metaphor computing, lexicon building, syntactic structure disambiguation, word sense disambiguation, semantic role labeling, etc. However, handcrafted SP knowledge can not meet the requirement of large scale real text processing. Based on the noun taxonomy of How Net,...
The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique-spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of...
Many existing length based Chinese-English sentence alignment methods compute sentence length in terms of the number of bytes. In this paper, we examine the effectiveness of six different ways of sentence length computation, which take, respectively, the number of verbs, nouns, adjectives, content words, bytes and all words in a sentence as its length. Most previous methods are found memory consuming...
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