And thus better able to solve the unknown word problem and most of the ambiguity problem.
从而能更好的解决未登录词问题和大部分歧义问题。
The order ambiguity problem of single peak tracing method is solved through the application of BP neural networks.
应用反向传播神经网络，解决了单峰测量方式的级次模糊问题。
A new method was proposed to recognize target after attitude estimation, which overcame the ambiguity problem of traditional 3d target recognition algorithms.
提出一种先估计姿态后识别目标的新方法，克服了传统三维目标识别算法的多义性问题。
One of challenges in Chinese Word Segmentation is the combinational ambiguity problem with two main obstacles: the detection of combinational ambiguities and ambiguity resolution.
汉语自动分词中组合歧义是难点问题，难在两点：组合歧义字段的发现和歧义的消解。
This paper first introduces research situation of natural language understanding at home and broad, discuss the classification and refinement and the ambiguity problem caused by adjectives;
本文首先介绍了国内外自然语言理解的研究状况，讨论了形容词的分类、细化以及由形容词引起的歧义问题；
This paper deals with the structure ambiguity problem by using a combined probability evaluation function, which employs the sentence structure features and context information during English parsing.
使用了一种组合型的概率评价函数解决英语句法分析过程中所面临的结构歧义问题，综合考虑了句法分析时的结构特性和上下文信息。
To reduce the level of ambiguity in requirement specifications and documents, we used a simple checklist of "good specification attributes" and "problem words to watch out for" (see Appendix A).
为了减少含糊不清的需求规格和文档，我们使用一个简单的检查单“好的规格属性”和“谨防有问题的词语”（参见附录 A）。
Ambiguity processing is an important factor to determine the precise of a word segmenting system, and a most difficult and essential problem of automated word segmenting system.
歧义处理是影响分词系统切分精度的重要因素，是自动分词系统设计中的一个最困难也是最核心的问题。
"Who am I?" this is a role positioning and identifying role problem. To "university student" this role if ambiguity.
“我是谁？”这是一个角色定位和识别作用的问题。“大学生”这个角色，假如含糊不清。
Seeing that problem is present in natural language formalization research, this paper tries to make analysis and discuss for few basic problem on ambiguity and formalization and system model.
针对目前自然语言形式化研究中存在的问题，就歧义性、形式化与系统模型等几个基本问题做了进一步的分析与讨论。
The famous rough set is useful tool to solve the problem of ambiguity, complexity, random city and less distinguish ability.
粗糙集是解决模糊性、随机性、复杂性和不可分辨性问题的有效工具。
After analyzing its deducing process, two problem appears, first :"Phase Ambiguity"and second:"Mirrorimage Ambiguity".
通过对推导过程的分析，引出了其存在的两大问题，即“镜像模糊”与“相位模糊”。
The dual mode ambiguity controller, which optimizes the controll rule by adjusting factors, works out the solution to the problem of poor stable precision of ambiguity controlling.
针对模糊控制稳态精度较差的问题，提出了“双模”模糊控制器，通过调整因子来优化控制规则。
Integer ambiguity resolution is the key problem of GPS based real-time attitude determination system which use double differencing carrier phase observables.
GPS姿态测量通常采用双差载波相位观测量，因此整周模糊值解算成为GPS实时姿态测量的关键问题。
Probabilistic context-free grammar can provide a solution to this problem: select the one whose probability is maximum from the ambiguity.
概率上下文无关语法可以提供对这个问题的解决方法：从歧义中选择概率最大的解释。
It is shown that the method is quick and precise, and the problem of the ambiguity for nonlinear equations and the measurement reliability are solved.
结果表明，该方法计算速度快、精度高，解决了求解非线性方程组解的模糊性问题，确保了测试结果的可靠性。
Compared with traditional wind vector algorithm and wind measurement from buoy, the new algorithm, which has no problem with the wind direction ambiguity, is more accurate.
与传统风场反演算法及浮标实测数据对比可知，该算法提高了风场反演的精确度，且不存在风向模糊问题。
If you feel that there's any ambiguity in the problem set, make sure to specify what question you think you're answering when you hand in the solutions.
如果你觉得习题集中有任何晦涩难懂，提交答案时明确说明你以为是回答什么问题。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
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