| 释义 |
word sense disambiguation wə:dsensdisˌæmbiɡjuˈeiʃən 短语¹⁴⁴⁹⁷²⁺²
基本例句
词义消歧
The precision rate of word sense disambiguation depends on the completeness of disambiguation knowledge.
词义排歧的精确率依赖于排歧知识的完备性。 cnki
The problem of word sense disambiguation can be formalized to be a typical classify problem.
词义消歧问题可以形式化为典型的分类问题。 cnki
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。 cnki
A word sense disambiguation method based on semantic graph structure was presented.
提出了一种基于语义网络结构的词义消歧方法。211.103.157.156
Applied in the corpus for meeting schedule, this method achieves an accuracy of96.9% in an open testing of word sense disambiguation.
通过使用会面安排领域的口语语料进行实验，多义选择的开放测试的正确率为96.9% 。 cnki
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。 cnki
The goal of this paper is to give a brief summary of the current unsupervised word sense disambiguation techniques in order to facilitate future research.
研究的目的是对现有的无监督词义消歧技术进行总结，以期为进一步的研究指明方向。 dictall
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。 ir.hit.edu.cn
Word Sense DisambiguationWSD 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。 ir.hit.edu.cn
Word sense disambiguationWSD 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。 cnki
Word sense disambiguation has always been important in natural language processing.
词义排歧在自然语言处理领域占有重要地位。 cnki |