Chinese-English unknown words translating method blending Web excavation, multi-feature and supervised learning
A technology of supervised learning and unregistered words, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of incomplete representation of translation candidate features, too simple correlation evaluation, etc., and improve translation accuracy , Improve coverage, improve efficiency and accuracy
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[0045] The present invention is further described below by way of embodiment and accompanying drawing.
[0046] Preprocessing and Parameter Estimation
[0047] The overall process of the present invention is to input Chinese unregistered words as a query into Google A search engine that returns a summary set of search results and extracts translation candidates from the summary set. At the same time, some heuristic rules and information entropy combined with partial features are used to filter the noise for initial sorting, and the top few are taken as the final translation candidates. Then, the features of translation candidates are extracted, and SVM and Ranking SVM are used to evaluate the correlation between translation candidates and unregistered words. In the above process, it is necessary to preprocess the returned abstract set, that is, set the search engine to return English web pages in the Chinese-English translation of unregistered words; remove hyperlinks, et...
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