ANN's structure is relatively complex of its input for WSD.
神经网络的结构相对复杂，用于词义消歧需要先解决输入问题。
These WSD approaches are all very important for the natural language processing by computer.
这些方法对于自然语言的计算机处理都是非常重要的。
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。
Word Sense Disambiguation (WSD) has always been a difficult and hot points in natural language processing.
词义消歧是自然然语言处理中的一个难点和热点问题。
This paper investigates their application effect on Chinese Word Sense Disambiguation (WSD) by experiments.
本文通过实验考察了这两种网络模型在汉语词义消歧上的应用效果。
If you make these adjustments, you will be playing better, and, incidentally, you will see the change reflected in your WSD %.
如果你做了这些调整，你会打得更好，同时，你会看到你的摊牌率的变化。
WSD is usually considered as an issue about pattern classification to study, which feature selection, is an important component.
通常把词义消歧作为模式分类问题进行研究，其中特征选择是一个重要的环节。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
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。
ObjectiveTo investigate the effects of securing longitudinal-socket-transverse fissure(LSTF) fixtures on wedge-shaped defect(WSD) rehabilitation.
目的观察纵槽横沟固位形修复楔状缺损的效果。
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。
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。
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。
And the unsupervised WSD based on NBM got a little lower precision in comparison to the supervised, but it is worthy further researching since it has a well extension performance.
基于NBM的无指导词义消歧正确率略低，但有很好的扩展性，值得进一步的研究。
The main work in the dissertation is to study how to acquire the knowledge that is supporting WSD from different language resources and build a WSD system about Chinese real text .
本文的主要工作是研究获取支持词义排歧的知识的方法，并在此基础上建立一个面向真实文本中实词的汉语词义排歧系统。
WSD is based in Hangzhou, Zhejiang, near the famous scenic Xi Lake. It's a Sino-Canadian joint venture dedicated to the design, manufacturing, sales and services of coffee machines.
万事达（杭州）咖啡机有限公司位于浙江省杭州市，毗邻风景秀丽的杭州西湖，是一家专业从事咖啡机研发，生产，销售与服务的中加合资企业公司。
WTD and its similar task - word sense disambiguation (WSD) in mono-lingual category are important and hard in the research of nature language processing (NLP) and are always the basis of it.
译文消歧及与之相似的在单语范畴内的词义消歧一直是自然语言处理领域基础研究课题，它也是自然语言处理技术的重点和难点之一。
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。
The results showed that PHSI, DMSI, WSD, electrolyte transudation ratio and injury ratio under drought treatment could be used to appraise the drought resistance of melon species at seedling stage.
结果表明：鉴定甜瓜品种抗旱性，苗期可应用株高胁迫指数（PHSI）、干物质胁迫指数（DMSI）、叶片水分饱和亏、电解质渗出率、干旱处理伤害率等指标。
Word alignment is a basic problem of Cross-lingual Natural Language Processing. Many NLP tasks based on bilingual corpus such as SBMT, EBMT, WSD, Automated Dictionary Extraction need to align words.
词语对齐是跨语言自然语言处理领域的一个基本问题，许多基于双语语料库的应用(如sbmt、EBMT、WSD、词典编纂)都需要词汇级别的对齐。
Word alignment is a basic problem of Cross-lingual Natural Language Processing. Many NLP tasks based on bilingual corpus such as SBMT, EBMT, WSD, Automated Dictionary Extraction need to align words.
词语对齐是跨语言自然语言处理领域的一个基本问题，许多基于双语语料库的应用(如sbmt、EBMT、WSD、词典编纂)都需要词汇级别的对齐。
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