Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289173407> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4289173407 endingPage "7" @default.
- W4289173407 startingPage "1" @default.
- W4289173407 abstract "Accurate recognition and analysis of semantics is the most important research field in the process of English translation with the help of natural language processing technology. This paper proposes an English semantic analysis method based on the neural network. First, the idea of model transfer is used to construct a topic segmentation model and the topic granularity segmentation of the translated text is carried out. Then, in order to obtain all the information in the English text, the recursive neural network is selected to recognize the word model. In order to recognize English texts with different sentence patterns, the long-term and short-term memory network is selected to extract the useful information of the text. Through the experimental data measurement and analysis results, compared with the traditional sentence analysis methods, the accuracy of the proposed method is as high as 95.8% and the model occupies less hardware resources." @default.
- W4289173407 created "2022-08-01" @default.
- W4289173407 creator A5086040460 @default.
- W4289173407 date "2022-07-31" @default.
- W4289173407 modified "2023-10-18" @default.
- W4289173407 title "Research on the Semantic Analysis Method of Translation Corpus Based on Natural Language Processing" @default.
- W4289173407 cites W1869993023 @default.
- W4289173407 cites W1981372412 @default.
- W4289173407 cites W2017489100 @default.
- W4289173407 cites W2111666304 @default.
- W4289173407 cites W2160409433 @default.
- W4289173407 cites W2531207078 @default.
- W4289173407 cites W2999649921 @default.
- W4289173407 cites W3010792765 @default.
- W4289173407 cites W3088186260 @default.
- W4289173407 cites W3169054605 @default.
- W4289173407 cites W3177994465 @default.
- W4289173407 cites W4226137233 @default.
- W4289173407 cites W4251478519 @default.
- W4289173407 doi "https://doi.org/10.1155/2022/3764230" @default.
- W4289173407 hasPublicationYear "2022" @default.
- W4289173407 type Work @default.
- W4289173407 citedByCount "0" @default.
- W4289173407 crossrefType "journal-article" @default.
- W4289173407 hasAuthorship W4289173407A5086040460 @default.
- W4289173407 hasBestOaLocation W42891734071 @default.
- W4289173407 hasConcept C154945302 @default.
- W4289173407 hasConcept C184337299 @default.
- W4289173407 hasConcept C186644900 @default.
- W4289173407 hasConcept C199360897 @default.
- W4289173407 hasConcept C203005215 @default.
- W4289173407 hasConcept C204321447 @default.
- W4289173407 hasConcept C2777530160 @default.
- W4289173407 hasConcept C2777946921 @default.
- W4289173407 hasConcept C2780801425 @default.
- W4289173407 hasConcept C41008148 @default.
- W4289173407 hasConcept C50644808 @default.
- W4289173407 hasConcept C89600930 @default.
- W4289173407 hasConcept C98501671 @default.
- W4289173407 hasConceptScore W4289173407C154945302 @default.
- W4289173407 hasConceptScore W4289173407C184337299 @default.
- W4289173407 hasConceptScore W4289173407C186644900 @default.
- W4289173407 hasConceptScore W4289173407C199360897 @default.
- W4289173407 hasConceptScore W4289173407C203005215 @default.
- W4289173407 hasConceptScore W4289173407C204321447 @default.
- W4289173407 hasConceptScore W4289173407C2777530160 @default.
- W4289173407 hasConceptScore W4289173407C2777946921 @default.
- W4289173407 hasConceptScore W4289173407C2780801425 @default.
- W4289173407 hasConceptScore W4289173407C41008148 @default.
- W4289173407 hasConceptScore W4289173407C50644808 @default.
- W4289173407 hasConceptScore W4289173407C89600930 @default.
- W4289173407 hasConceptScore W4289173407C98501671 @default.
- W4289173407 hasLocation W42891734071 @default.
- W4289173407 hasOpenAccess W4289173407 @default.
- W4289173407 hasPrimaryLocation W42891734071 @default.
- W4289173407 hasRelatedWork W1963443923 @default.
- W4289173407 hasRelatedWork W1978971213 @default.
- W4289173407 hasRelatedWork W2020540721 @default.
- W4289173407 hasRelatedWork W2117096079 @default.
- W4289173407 hasRelatedWork W2167662847 @default.
- W4289173407 hasRelatedWork W2293457016 @default.
- W4289173407 hasRelatedWork W2402295647 @default.
- W4289173407 hasRelatedWork W2966727510 @default.
- W4289173407 hasRelatedWork W2977842567 @default.
- W4289173407 hasRelatedWork W3198474835 @default.
- W4289173407 hasVolume "2022" @default.
- W4289173407 isParatext "false" @default.
- W4289173407 isRetracted "false" @default.
- W4289173407 workType "article" @default.