Titlebook: Computational Linguistics and Intelligent Text Processing; 15th International C Alexander Gelbukh Conference proceedings 2014 Springer-Verl

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Beam-Width Adaptation for Hierarchical Phrase-Based Translation for it. The empirical studies on Chinese-to-English translation tasks show that, even in comparison with a competitive baseline which employs well designed cube pruning, our approaches still double the decoding speed without compromising translation quality. The approaches have already been applied to an online commercial translation system.

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https://doi.org/10.1007/978-3-642-54903-8clustering and classification; document management and text processing; information retrieval; informat

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232602.jpg

nuclear-tests

F. Schultz-Grunow,A. Jogwich,P. Sandsitive, negative or neutral. Modality is commonly used in text. In a typical corpus, there are around 18% of sentences with modality. Due to modality’s special characteristics, the sentiment it bears may be hard to determine. For example, in the sentence, ., the speaker is negative about this phone

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https://doi.org/10.1007/978-3-663-04930-2ents. Experiments were carried out on the 2012 Audio/Visual Emotion Challenge (AVEC2012) database, where emotions are defined as vectors in the Arousal-Expectancy-Power-Valence emotional space. Our model using 6 novel disfluency features yields significant improvements compared to those using large

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