Deep Learning-Based Performance Optimization of English Machine Translation Article Swipe
This article proposes a performance optimization method for English machine translation based on deep learning and introduces the Bahdanau attention mechanism. Using a parallel corpus of approximately 30,923 sentences for training and testing, the model achieved an average BLEU score of 45.83, showing excellent English translation results. Research results show that this method effectively improves translation accuracy, helps enhance global communication efficiency, and brings new development ideas to the field of language translation.
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Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.3233/faia241162
- https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA241162
- OA Status
- hybrid
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4404611682Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3233/faia241162Digital Object Identifier
- Title
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Deep Learning-Based Performance Optimization of English Machine TranslationWork title
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book-chapterOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-21Full publication date if available
- Authors
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Yuping SongList of authors in order
- Landing page
-
https://doi.org/10.3233/faia241162Publisher landing page
- PDF URL
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https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA241162Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA241162Direct OA link when available
- Concepts
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Computer science, Translation (biology), Artificial intelligence, Machine translation, Natural language processing, Chemistry, Gene, Biochemistry, Messenger RNATop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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