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Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model.

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Title: Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model.
Authors: Qing-dao-er-ji, Ren1, Cheng, Kun1,2, chengyanke0@gmail.com, Pang, Rui1,2
Source: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 19, p10074, 18p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 159676083
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PubType: Academic Journal
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  Data: Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/app121910074
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 10074
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      – TitleFull: Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model.
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            NameFull: Qing-dao-er-ji, Ren
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            NameFull: Cheng, Kun
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            NameFull: Pang, Rui
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            – D: 01
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              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 12
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              Value: 19
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            – TitleFull: Applied Sciences (2076-3417)
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