statistical machine的例句大全

This paper makes use of the natural language processing, machine learning, statistical machine translation technology, in view of the network Chinese review information, extract the evaluation target and evaluation word collocation relations.

本文借助自然语言处理、机器学习、统计机器翻译等技术，针对中文网络评论信息，抽取出其中的评价对象和评价词的搭配关系。

We propose a transliteration method based on traditional statistical machine translation, effectively improve the kana equivalents extraction result.

我们提出了一种基于传统统计机器翻译的音译方法，有效改善了假名上的等价对抽取效果。

Which language translations does microsoft's own statistical machine translation engine support?

microsoft自己的统计技术机器翻译引擎支持哪些语言的翻译？

We use the open-source statistical machine translation software to train the language model and translation model, and the decoder to decode.

利用开源的统计机器翻译软件对语言模型和翻译模型进行训练，并使用本文设计的解码器进行解码。

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。

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。

An efficient beam search decoder for phrase-based statistical machine translation was described.

描述了一种基于短语统计机器翻译的柱搜索解码器.

binary classification is a wildly studied topic in statistical learning theory, machine learning and artificial intelligence.

二分类问题是统计学习理论、机器学习以及人工智能中研究的一个重要问题。

Support Vector Machine ( SVM), which is based on Statistical Learning Theory ( SLT), has drawn more and more attention in recent years because of its advantages to other learning machines. It has been applied in black box or gray-box systems' recognition and control now.

基于统计学习理论的支持向量机因为具有其它学习机器所没有的优点而得到了广泛的关注，目前已经有利用支持向量机进行黑箱或灰箱系统辨识与控制的相关研究。

On account of the field specificity, we mainly adopt the method of knowledge-table-assisted machine learning and choose Conditional Random Fields ( CRF) as the statistical model. Firstly, named entity recognition is regarded as the basis of information extraction.

基于领域特点，我们在实验中主要采用知识表辅助机器学习的方法，统计模型选用了条件随机场（CRF）。命名实体识别是信息抽取的基础。

Based on it, the Monte Carlo simulation is implemented for the octahedron parallel machine tool, and then the statistical frequency histogram is given.

在此基础上，对八面体并联机床的位姿误差进行了Monte Carlo模拟，给出了统计频数直方图。

Exponentially exploding bioinformation data has brought a new multidisciplinary research area& computational biology, and subsequently new challenges come to the research community on data mining, machine learning and statistical learning.

随着生物数据量呈指数级增长，产生了新的交叉学科――计算生物学，由此给数据挖掘、机器学习和统计学等领域带来了新的挑战。

three basic methods for computing reliability statistical value of machine element

机械零件可靠性统计量计算的三种基本方法

Model. Statistical N-gram Method Used in Machine Translation System

N-gram统计模型在机器翻译系统中的应用

A statistical correction method for the system error of sorting machine

分选机系统误差的统计校正方法

kernel method is a powerful machine learning method developed recently. it builds on the statistical learning theory.

核方法是新近发展起来的一种模式识别方法，它的理论基础来自于统计学习理论。

least squares support vector machine ( ls-svm) theory is a new classification and regression tool based on statistical learning theory, which has strong the generalization ability.

关于混沌时间序列的建模也有很多训练模型，其中最小二乘支持向量机（SVM）理论是一种新的基于统计学习理论的分类和回归工具，而且泛化能力强。

Statistical learning theory is a kind of new technology in machine learning field.

统计学习理论是机器学习领域的最新进展。

The statistical properties of random angle signal due to angular speed fluctuation of rotating machine are proposed.

首先推导了旋转机械转速波动的随机角位移统计特性，证明了随机角位移信号是一种非平稳的随机过程。

A phrase based statistical Chinese-Mongolian machine translation and reordering model

一种基于短语的汉蒙统计机器翻译与调序模型