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Li et al., 2022 - Google Patents

Unreferenced English articles' translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning

Li et al., 2022

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Document ID
11361009249551191676
Author
Li H
Deng J
Publication year
Publication venue
Plos one

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Snippet

Currently, both manual and automatic evaluation technology can evaluate the translation quality of unreferenced English articles, playing a particular role in detecting translation results. Still, their deficiency is the lack of a close or noticeable relationship between …
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Classifications

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    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
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    • G06F17/50—Computer-aided design
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