The experimental results on the Chinese ACE training corpus demonstrate that the proposed method is a feasible unsupervised algorithm for noun phrase coreference resolution.
通过在ACE中文语料上的人称代词消解和名词短语消解实验结果表明，该算法是一种有效可行的无监督指代消解算法。
Experimental results show that the BLEU scores of the translation results were significantly improved compared with a conventional statistical phrase-based model.
该模型的实验结果比经典的短语统计翻译模型的BLEU评分有明显提高。
Experimental results show that the BLEU scores of the translation results were significantly improved compared with a conventional statistical phrase-based model.
该模型的实验结果比经典的短语统计翻译模型的BLEU评分有明显提高。
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