首页> 外文期刊>Computer speech and language >Whole-sentence exponential language models: a vehicle for linguistic-statistical integration
【24h】

Whole-sentence exponential language models: a vehicle for linguistic-statistical integration

机译:全句指数语言模型:语言统计整合的工具

获取原文
获取原文并翻译 | 示例
           

摘要

ew introduce an exponential language model which models a whole sentence or utterance as a single unit. By avoiding the chain rule, the model treats each sentence as a "bag of features", where features are arbitrary computable properties of the sentence. The new model is computationally more efficient, and more naturally suited to modeling global sentential phenomena, than the conditional exponential(e.g. maximum entropy) models proposed to date.
机译:ew介绍了一种指数语言模型,该模型将整个句子或话语建模为一个单元。通过避免链式规则,该模型将每个句子视为“特征包”,其中特征是句子的任意可计算属性。与迄今为止提出的条件指数(例如最大熵)模型相比,新模型在计算上更有效,并且更自然地适合于建模全局句子现象。

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