wsd

Design and Implements of WSD System Based on Chinese Real Text

面向真实文本的汉语词义排歧系统

A WSD Method based on Conceptual Distance and Semantic Space Similarity

一种基于语义距离和语境相似度的词义排歧方法

Study on Modern Shipbuilding Production Technology Based on DAP and WSD

基于DAP和WSD的现代造船工法策划研究

The Research on Unsupervised WSD Method Based on Sense Categories

基于义类的无导词义消歧方法的研究

A WSD method for the optimal utilization of water resources in an irrigated area

灌区水资源优化利用的水盐区分法

Word sense disambiguation ( WSD ) is all along an important and difficult problem in nature language processing .

词义消歧一直是自然语言处理中的重点和难点问题。

The experimental data shows that Bayesian network is fitter for solving the Chinese WSD than ANN .

实验数据表明贝叶斯网络比神经网络更适合解决汉语词义消歧问题。

Experimental results show that this approach does better on Chinese WSD , and the open test achieved an accuracy of 86.27 % .

实验结果证明基于依存改进的贝叶斯模型在汉语词义消歧上表现良好，开放测试正确率可达86.27%。

Thus the question how to improve the effect of WSD will be the motivation and objective of our further research in this field .

因此，如何进一步改善词义消歧处理的效果，将是我们在词义消歧领域继续进行研究的动力和目标。

Comparison of SDE and WSD in Analyzing the Volatile , Semi-Volatile Neutral Components in Tobacco

同时蒸馏萃取法与水蒸气蒸馏法分离分析烟草挥发性、半挥发性中性成分的比较

It is found that under the environment of BP neural network , voice plays an important role in the WSD of both modal verbs .

研究发现，在BP神经网络环境下，语态因素在两个情态动词的语义排歧中都起到了重要的作用。

WSD caused cell dehydration , then led to cell membrane damage and then plasma-membrane permeability inceaseed .

在结构上由于水分亏缺引起细胞脱水，导致细胞膜损伤，质膜相对透性增大。

Word sense disambiguation ( WSD ) is the ability to identify the meaning of words in context in a computational manner .

语义排歧是采用计算的方法确定词语在特定语境下的语义。

In the light of the characteristic of WSD ( weak signal detecting ), puts forward the reference channel and correlation principle to handle the signals .

针对微弱信号检测的特殊性，提出采用参考通道，并应用相关原理处理信号。

Chinese chunk extractor will surely be applied to text partial parsing , computer-aided chunk bank construction , WSD , and information extraction .

中文语块抽取器将可用于中文文本的部分分析，计算机辅助的中文语块库的建设，结构和语义消歧，以及将可成为信息抽取（如实体、事件等）的工具。

Now the system LM - WSD was applied in a word based English Chinese machine translation system for car fittings field , and improved the performance of the system .

目前，该词义自动消歧系统LM-WSD已经应用于基于词层的英汉机器翻译系统（汽车配件专业领域）中，有效地提高了翻译性能。

The main work in the dissertation is to study the supervised learning algorithm learning WSD knowledge from many kinds of resources based on large sense-tagged Chinese corpus .

本文主要研究在标注语料库支持下的基于有指导学习算法的词义排歧方法。

The influences of different semantic and syntactic features on the effects of the WSD of the two modal verbs are analyzed and ranked through experiments .

通过实验研究了不同语义和句法特征对情态动词语义排歧效果的影响，根据影响程度对这些特征进行了排序。

Using morphological characteristics , root-shoot ratio , anatomical structure of leaves , leaf water holding and WSD analyzed the water holding ability of 11 tree species .

从形态特征、根冠比、叶片解剖构造、叶片保水力、水分饱和亏等方面分析了11个树种对干旱的适应性特征。

With the development of large-scale computer text-processing technology , supervised machine learning methods predominates in the approaches toward WSD tasks due to their high accuracy .

随着计算机处理大规模文本能力的日益增强，采用有指导机器学习方法的词义消歧以其突出的高准确率逐渐成为了主流。

Automatic semantic tagging corpus construction is one of the best strategies to reduce knowledge acquisitions bottleneck for supervised Word Sense Disambiguation ( WSD ) .

有指导词义消歧方法存在知识获取瓶颈问题，词义标注语料库的自动构建是减小此问题的最佳策略之一。

The Word Sense Disambiguation ( WSD ) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model .

采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。

Two BP neural network models for the WSD of may and must are established , respectively , and both of them reach an ideal ratio of correct disambiguation .

分别建立了英语情态动词may和must语义排歧的BP神经网络模型，均达到了理想的排歧正确率。

415 days after spraying , all treatment improved the leaf chlorophyll content , VLM , and decreased significantly relative permeability of plasma membrane and WSD .

4苗期叶面喷施黄腐酸后15天，各喷施处理均显著提高了番茄叶片的叶绿素含量、比叶鲜样质量，同时显著降低了细胞膜透性和水分饱和亏。

Word sense disambiguation ( WSD ) plays an important role in many areas of natural language processing such as machine translation , information retrieval , sentence analysis , speech recognition .

词义排歧在机器翻译、信息检索、句子分析和语音识别等许多领域有重要的作用。

Word Sense Disambiguation ( WSD ) is so far a key topic in Natural Language Processing ( NLP ), and has important theoretical and practical value for many research fields .

词义消歧一直以来都是自然语言处理领域的一个关键课题，对众多研究领域都具有十分重要的理论和实践意义。

The problem solved by word sense discrimination ( WSD ) is how to identify the right meaning of the word by the context of language environment of the ambiguous words .

如何根据歧义词出现的上下文语言环境识别出正确词义是词义识别要解决问题。

Relative water content ( RWC ) , Water saturation defi-cit ( WSD ) , free water , bound water and cell sap concentration were all correlated with PF .

叶片相对含水量、水分饱和亏、自由水、束缚水含量，细胞汁液浓度也同土壤PF值显著相关。

The results showed that transpiration rate , leaf RWC , water potential and water-consumption , water use coefficient decreased with soil water decreasing , and leaf WSD increased with soil water decreasing .

结果表明，蒸腾速率、叶水势、叶片相对含水率、耗水量和耗水系数均随土壤水分的减少而呈降低趋势；

The results were reversed under the WSD . The WMD also increased the albumin and glutelin content of milled rice , and decreased the prolamine content .

重干-湿交替灌溉的结果则相反。轻干-湿交替灌溉增加了精米中清蛋白和谷蛋白含量，降低了醇溶蛋白含量；重干-湿交替灌溉增加了清蛋白含量，降低了球蛋白含量。