S2 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism

S2 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism

<p>This Excel file contains raw numerical data for the experimental results, including performance metrics, comparative experimental results, and related experimental variables.</p> <p>(XLSX)</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yutong Liu (4027994) (author)
مؤلفون آخرون:	Shile Zhang (9617865) (author)
منشور في:	2025
الموضوعات:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified offers significant support natural language processing natural language learning correct textual errors bilingual evaluation understudy bidirectional encoder representations average processing time text intelligent correction grammatical error samples adam optimization algorithm model &# 8217 bert ), combined customized dependency self 85 ), recall enhanced model based bleu score increases error correction dependency self bert model 87 ), parameter optimization model training model aims improved model baseline model translation process standard resource sentence structure rich collection results show research uses practical implementation nlp technologies nlp ). linguistic research key challenges integrating models innovative approach f1 score experimental benchmark english translation edit distance automatically detect attention mechanism application scenarios 86 ). 8 seconds
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