In this current n-gram situation, the grammar is fixed.
在这个当前的n元语法情景中，文法是固定的。
If you work with a context-free grammar, the structure of n-gram (see Resources) might be what you require.
如果您使用一种上下文无关的文法，那么n元语法的结构(参见参考资料)可能是您所需要的。
The key problem in N-gram method is the problem of sparse data which still can not be solved effectively now.
但是随着研究深入，出现稀疏数据成像问题，无法用传统方法重建清晰图像。
In candidate sentences selection module, the methods we used to compute the similarity between sentences and query are N-gram modal and Vector Space modal.
相关语句抽取部分的相似度计算使用了N元模型和向量空间模型。
The myroot rule contains one or more rulerefs, each of which has a URI that points to another rule, in this case command1, which is the master rule for an n-gram.
myroot规则包含一个或多个 rulerefs，每个都有一个指向另一规则（本例中是 command1，它是一个 n 元语法的masterrule）的URI。
NIST is another statistical method counting n-gram co-ocurrence based on BLEU, which assigns a higher weight to a more informative n-gram co-ocurrence with a less number occurring in references.
NIST在BLEU方法的基础上，提出了另外一种基于共现n元词的统计方法，它认为如果一个n元词在参考译文中出现的次数越少，那么该n元词包含的信息量就越大，就应该赋予更高的权重。
The segmentation system selects three kinds of statistics principles to count separately:Mutual Information, N -Gram and t-test.
系统选用了三种统计原理分别进行统计：互信息，N元统计模型和t-测试。
The segmentation system selects three kinds of statistics principles to count separately:Mutual Information, N -Gram and t-test.
系统选用了三种统计原理分别进行统计：互信息，N元统计模型和t-测试。
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