首页> 外文会议>International Conference on Computer Simulation in Physics and Beyond >The complex of neural networks and probabilistic methods for mathematical modeling of the syntactic structure of a sentence of natural language
【24h】

The complex of neural networks and probabilistic methods for mathematical modeling of the syntactic structure of a sentence of natural language

机译:自然语言句子句法结构数学建模的神经网络和概率方法

获取原文

摘要

The formalized model to construct the syntactic structure of sentences of a natural language is presented. On base of this model the complex algorithm with use of neural networks founded on data of Russian National language Corpus and set of parameters extracted from this data was developed. The resulted accuracy along with possible accuracy which theoretically could be received with these parameters is presented.
机译:介绍了构建自然语言句子句法结构的形式化模型。在该模型的基础上,开发了具有在俄罗斯国家语言语料库数据数据和从该数据中提取的参数上建立的神经网络的复杂算法。提出了由此产生的精度以及理论上可以通过这些参数接收的精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号