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Because of the elastic service capability of cloud computing platform, more and more applications are moved here, which makes efficient load balancing into a bottleneck. Considering the unique features of long-connectivity applications which are increasingly popular nowadays, an improved algorithm is proposed based on the weighted least connection(More)
This paper describes extensions to a musical score indexing program that enable it to discover sequences of notes that appear in retrograde and/or inverted form. The program was tested over a set of 50 orchestral movements by several composers of the Baroque, Classical, and Romantic periods. The retrograde and inversion discovery algorithm added an average(More)
We propose an effective approach to automatically identify predicate heads in Chinese sentences based on statistical pre-processing and rule-based post-processing. In the pre-processing stage, the maximal noun phrases in a sentence are recognized and replaced by " NP " labels to simplify the sentence structure. Then a CRF model is trained to recognize the(More)
In order to solve the problem of Katakana reduced to English in Japanese-English translation, we employ the phrase-based statistical machine translation model to perform Katakana phrase (or word) translation from Japanese to English. The katakana phrase is segmented into words by CRF, and then Japanese-English and English-Japanese bi-directional integration(More)
In this paper, we propose a new approach to improve human post-editing efficiency by simplifying the sentence structure on Chinese-to-English patent machine translation (PMT). To simplify the structure of a patent sentence, we use a recognizer to recognize the max noun phrases (MNPs) in a Chinese sentence before translating the sentence. The MNPs are(More)
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