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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

neural machine translation

biblio

Visible to the public A Hierarchy-to-Sequence Attentional Neural Machine Translation Model

Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm
  • semantic compositionality modeling
  • neural nets
  • optimal model parameters
  • parameter learning
  • pubcrawl
  • recurrent neural nets
  • Recurrent neural networks
  • segmented clause sequence
  • segmented clauses
  • neural machine translation
  • Semantics
  • sequence-to-sequence attentional neural machine translation
  • short clauses
  • Speech
  • speech processing
  • text analysis
  • Training
  • translation prediction
  • hierarchical neural network structure
  • Chinese-English translation
  • clause level
  • Compositionality
  • Context modeling
  • conventional NMT model
  • Decoding
  • English-German translation
  • grammars
  • attention models
  • Hierarchy-to-sequence
  • hierarchy-to-sequence attentional neural machine translation model
  • hierarchy-to-sequence attentional NMT model
  • language translation
  • learning (artificial intelligence)
  • long parallel sentences
  • natural language processing
biblio

Visible to the public On Application of Natural Language Processing in Machine Translation

Submitted by aekwall on Mon, 05/18/2020 - 10:53am
  • Mathematical model
  • statistical corpora
  • Scalability
  • Resiliency
  • pubcrawl
  • pub
  • Neural networks
  • neural nets
  • neural machine translation
  • natural language processing
  • Big Data
  • machine translation
  • learning (artificial intelligence)
  • language translation
  • Human behavior
  • History
  • Google
  • deep learning
  • Decoding

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