Abstract: The authors propose a novel translation log based translation rule pruning method, which prunes translation rules according to the translation rule hit counts pairs. Experiment results show that the proposed method requires only 1% - 3% translation rules without significantly difference compared to the full model.

Key words: statistical machine translation, model pruning, translation log

摘要： 提出一种基于翻译日志的统计机器翻译模型的剪枝方法。该方法利用翻译规则在翻译日志中的命中频数对机器翻译规则进行过滤, 保留当前机器翻译模型所需的最小规则表。实验表明, 该方法能够在仅保留原有模型1%~3%翻译规则的前提下达到原有模型的翻译效果。

关键词: 统计机器翻译, 模型剪枝, 翻译日志