This paper presents a new algorithm called MultiLayer Filtering Rule Based Machine Translation.
本文提出了一种基于规则库的多层过滤进行机器翻译的算法。
The article includes 2 parts: part One discusses the direct Hash retrieval algorithm; part Two discusses the approximate algorithm of machine translation.
本文的工作主要有两部分：第一部分讨论直接散列检索算法；第二部分讨论近似机器翻译算法。
Based on phrase-based statistical machine translation, a dynamical programming beam search decoding algorithm is put forward combining multi futures model using log-liner model approach.
在基于短语的统计机器翻译的基础上，结合对数线性模型的思想加入多个特征模型，研究了一种动态规划的柱搜索解码算法。
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