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Titlebook: Machine Translation; 13th China Workshop, Derek F. Wong,Deyi Xiong Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Natu

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Translation Oriented Sentence Level Collocation Identification and Extraction,ropose a sentence level collocation identification and extraction method which follows the traditional two phase collocation extraction model. In candidate generating phase, we use the dependency parsing results directly, while in the filtering phase, we propose to use the latest model of distributi
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Combining Domain Knowledge and Deep Learning Makes NMT More Adaptive,likely that the training data and texts in practical translation fall into a same domain, leading to a sub-optimal performance. Domain adaptation is to address such problems. Existing domain adaptive approach in machine translation employs topic model to obtain topic information. However, thus domai
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Kenan Li,Heyan Huang,Yuhang Guo,Ping Jian a method which plans the development of the city, is completely redefined here in the form of a design approach inspired by projects shaped by linear routes, such as cycle or walking paths. Such concept is applied to the urgent topic of territorial marginality which specifically neglects rural and
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