ScholarGate
助手
Machine learningDeep learning / NLP / CV

多语言长短期记忆网络

多语言长短期记忆网络(Multilingual LSTM)是一种经过训练或微调以处理多种语言序列的循环神经网络。它通常通过共享跨语言特定的或联合的子词嵌入(subword embeddings)来实现。它能够捕捉文本中的长程依赖关系,并应用于多语言分类、命名实体识别、情感分析和序列标注等任务。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Hochreiter, S. & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735
  2. Long short-term memory. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Multilingual Long Short-Term Memory Network. ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-lstm

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateMultilingual LSTM (Multilingual Long Short-Term Memory Network). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multilingual-lstm · 数据集: https://doi.org/10.5281/zenodo.20539026