Recently statistical machine learning methods have been substantially attempted for this issue with some achievements.
近年来，许多学者尝试利用统计机器学习的方法来进行共指消解并取得了一定的进展。
The paper gives a survey on three approaches of statistical machine translation and the evaluation methods used in SMT.
本文综述了基于信源信道思想和基于最大熵思想的统计机器翻译方法并介绍了统计机器翻译的评测方法。
Google Translate is a statistical machine translation system, which means that it doesn't try to unpick or understand anything.
谷歌翻译是一种统计机器翻译系统，这意味着它不会尝试拆开或了解任何事。
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。
In recent years, statistical machine translation systems achieved good results in some machine translation evaluation test.
在近年举行的机器翻译评测中，统计机器翻译系统取得了很好的成绩。
Recently, many researchers try to handle coreference resolution with statistical machine learning and gain some achievement.
近年来，许多学者尝试利用统计机器学习的方法来进行共指消解并取得了一定的进展。
Statistical machine learning for translation services is now widely researched and is also used by some other websites, like Google Translate.
让统计机器学做翻译服务，目前受到了广泛的研究，也在谷歌翻译（GoogleTranslate）等其他一些网站得到了运用。
To deal with the long-distance reordering, a linguistically syntax-based reordering model was presented for phrasal statistical machine translation.
为了处理统计机器翻译中的长距离调序，在基于短语的统计翻译模型的基础上提出了句法调序模型。
Based on the current statistical machine translation, the size of corpus and the accuracy of word alignment mainly affect the performance of SMT systems.
在当前的基于统计的翻译方法中，双语语料库的规模、词对齐的准确率对于翻译系统的性能有很大的影响。
In this paper, some major methods of statistical machine translation are researched and discussed, including source-channel model and maximum entropy model.
本文首先对统计机器翻译若干主要方法进行了研究和探讨，包括基于信源信道思想和基于最大熵思想的若干模型。
The experiments in Chinese-English and French-English translation prove that this method can improve performance distinctly in statistical machine translation system.
通过对中英翻译和法英翻译的实验评测，证明了该方法可以明显改善统计机器翻译系统的性能。
On the basis of analyzing of process of producing query, this paper puts forward a new method of query expansion on the basis of model of statistical machine translation.
该文在分析了查询产生模型的基础上，提出了一种新的基于统计机器翻译的查询扩展方法。
It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization.
同时也包含了语法剖析、资讯萃取、统计式机器翻译、对话系统以及自动摘要等方法和模型的应用。
Google's approach, called statistical machine translation, differs from past efforts in that it forgoes language experts who program grammatical rules and dictionaries into computers.
谷歌的做法，所谓的统计机器翻译系统，不同于以往的努力，因为它放弃语言专家，他们计划语法规则及字典到他们的电脑里。
We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization.
我们将在多种应用中讨论这些方法和模型的使用，包括句法分析，资讯抽取，统计机器翻译和自动摘要等。
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。
Statistical machine translation (SMT) is the text translation by the statistical parameter models obtained from the training corpus, which has become the mainstream of machine translation research.
统计机器翻译是利用基于语料库训练得到的统计参数模型，将源语言的文本翻译成目标语言，它是机器翻译的主流方向。
The analytical work involves applying statistical inference and machine learning techniques.
其分析工作涉及到统计推断及机器学习技术的应用。
That's because machine translation techniques rely on analysing the statistical properties of the same text written in two different languages - a Spanish-English dictionary, for example.
这是因为机器翻译技术依赖于分析同一文本两种语言版本的统计特性，如西班牙语——英语字典等。
Soluto's software communicates with a Web server that stores statistical data that's used to interpret what's happening on the machine.
在电脑上发生的问题被以统计数据的方式存储在服务器中，Soluto软件直接和该服务器进行数据交换。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.
支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。
Understand current methods for statistical approaches to machine translation.
瞭解目前统计式机器翻译所使用的方法。
Compared with statistical theory, statistical learning theory focuses on the machine learning of small sample size and can trade off between the complexity of models and generalization performance.
与传统统计学相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
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