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- word sense annotated corpus 词义标注语料库
- 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。
- Parallel corpus has valuable application in machine translation, bilingual dictionary compilation, word sense disambiguation and Cross-Lingual Information Retrieval. 除机器翻译方面的应用之外，平行语料库的建设对于双语词典编纂、词义消岐和跨语言信息检索也具有重要价值。
- The cross-validation test evaluated on a manually annotated corpus containing 7323 prepositional phrases shows promising results: the precision is 87.48% and recall is 87.27%. 通过对含有7323个介词短语的语料作交叉测试，精确率达到87.;48%25，召回率达到87
- Abstract: Word sense disambiguation is a key problem and one of difficult points in natural language processing. 摘 要： 词义消歧一直是自然语言处理领域的关键问题和难点之一。
- The rate of correct word sense disambiguation is over 98 % in the closed test, and over 96% in the open test. 词义消歧的精确率，封闭测试高达98%25以上，开放测试高达96%25以上。
- Word sense disambiguation is one of the difficult problems in natural language processing. 摘要词义消歧是自然语言处理中的难题之一。
- Word sense tagging is one of the most difficult problem in natural language processing. 词义标注是自然语言处理的难题之一。
- The problem of word sense disambiguation can be formalized to be a typical classify problem. 摘要词义消歧问题可以形式化为典型的分类问题。
- 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。
- As an important work in the field of Natural Language Processing, Word Sense Disambiguation (WSD) has been a research focus since 1950. 作为自然语言理解的一项基础工作，词义消歧(Word Sense Disambiguation, WSD)一直是研究的重点。
- Word sense is one of the obstacles of natural language processing (NLP), and the factor which weakens the translation quality of machine translation (MT), also. 语义障碍是自然语言处理的一个拦路石，当然也是影响提高机器翻译译文质量的因素之一。
- The paper puts forward an algorithm that can automatically learn sense-tagging-oriented transformative rules and presents a corresponding word sense disambiguation algorithm. 该文提出用于文本词义标注的转换规则自动获取算法及相应的词义排歧算法。
- I would like to have a word with you. 我想同你说句话。
- The range of polysemous words as the object of the computer automatic word sense disambiguation is delimited. 先界定了作为计算机自动词义消歧对象的多义词的范围；
- At last,the author put forwards the idea of empoldering a system of word sense disambiguation according the primary content of the thesis and some coding experiments of its core modules are conducted. 最后，根据本文所讨论的主要内容提出了一种汉语词义排歧系统的开发思路，并对其中一些模块进行了代码实现。
- Word sense disambiguation(WSD) is the key problem in natural language processing because the result of WSD affects many problems seriously in natural language processing and information retrieval. 词义消歧(WSD)一直是自然语言理解中的一个关键问题,该问题解决的好坏直接关系到自然语言处理中诸多应用问题的效果优劣。
- Word sense disambiguation (WSD) is the key problem in natural language processing because the result of WSD affects many problems seriously in natural language processing ad information retrieval. 词义消歧(WSD)一直是自然语言理解中的一个关键问题，该问题解决的好坏直接关系到自然语言处理中诸多应用问题的效果优劣。
- Here the word is used in a figurative sense. 这里该字是在比喻的意义上使用的。
- Can you give me a definition of this word? 你能告诉我这个单字的定义吗？
