Experiments show that with a better efficiency the translation results of our non-contiguous phrase-based model and hierarchical model are comparable.
实验表明,在效率提高的情况下,非连续短语模型可以取得与层次型短语模型相当的翻译结果。
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。
In statistical machine translation field, the phrase-based translation model outperforms the word-based translation model.
在统计机器翻译领域,基于短语的翻译模型的性能优于基于词的翻译模型。
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