美国已经没有下雨这一说了，天气预报员只会提到降水概率这个词。
It no longer rains in America; your TV weatherman will tell that you we're experiencing a precipitation probability situation.
哈金指出概率这个词，或者说可能，已经存在于英语中。
Hacking points out that the word probability — or probable — was already in the English language.
美国已经没有下雨这一说了，天气预报员只会提到降水概率这个词。
It no longer rains in America; your TV weather man will tell that you we're experiencing a precipitation probability situation.
这就是我们在讲的理论，但他并没有用概率这个词，因为当时还没有发明这个词。
It's exactly this theory, but he doesn't have the word probability, which hadn't been invented yet.
衡量单词之间关系的一种方法就是马科夫分析法，这一方法就是：对给定的单词序列，分析一个词跟着另一个词后面出现的概率。
One way to measure these kinds of relationships is Markov analysis, which characterizes, for a given sequence of words, the probability of the words that might come next.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
所以他直接进行了描述，他用的是困难和简单两词，他说的困难，意思就是概率很小，他说的简单，意思就是概率很大。
So, he's using intuitive — he says difficult or easy — so he says it's difficult, meaning the probability is very low, or easy, meaning that probability is high.
有意思的是，这个人用了“计算”这个词，这个人想到了这个主意，概率论正是1600年左右产生的。
It's interesting that this person USES the word calculation; this person has the idea — this was — 1600 was around the year when probability theory was invented.
到目前为止，中文信息处理主要依赖于对大规模语料的统计，根据概率，对词与词的关系作出界定。
The main stream in Chinese information processing community depends heavily on corpus-based methods, by making full use of the statistical relationship among words, in recent years.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
共现模型将图像划分成规则区域，根据图像区域和关键词的共现概率来标注图像，即观察关键词与图像区域的联合发生概率。
In the first model they observe the co-occurrence of keywords with image regions which are created using a regular grid. And they annotate the images by the association probability.
共现模型将图像划分成规则区域，根据图像区域和关键词的共现概率来标注图像，即观察关键词与图像区域的联合发生概率。
In the first model they observe the co-occurrence of keywords with image regions which are created using a regular grid. And they annotate the images by the association probability.
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