Overall Model Architecture.

<div><p>Improving translation quality and efficiency is one of the key challenges in the field of Natural Language Processing (NLP). This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention me...

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Bibliographic Details
Main Author:	Yutong Liu (4027994) (author)
Other Authors:	Shile Zhang (9617865) (author)
Published:	2025
Subjects:	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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Overall Model Architecture.

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