Dengjun Ren

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This paper reports on the first participation of TCH (Toshiba (China) Research and Development Center) at the IWSLT evaluation campaign. We participated in all the 5 translation tasks with Chinese as source language or target language. For Chinese-English and English-Chinese translation, we used hybrid systems that combine rule-based machine translation(More)
This paper presents a discriminative pruning method of n-gram language model for Chinese word segmentation. To reduce the size of the language model that is used in a Chinese word segmenta-tion system, importance of each bigram is computed in terms of discriminative pruning criterion that is related to the performance loss caused by pruning the bi-gram.(More)
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