Evaluation of Intelligent Proofreading Effect of English Translation of Lingnan Hakka Dialect Based on Dependency Syntactic Networks
Published Online: Feb 27, 2025
Received: Sep 27, 2024
Accepted: Jan 08, 2025
DOI: https://doi.org/10.2478/amns-2025-0106
Keywords
© 2025 Guiying Kong, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This study evaluates the effect of intelligent proofreading of English translation of Lingnan Hakka dialect based on dependent syntactic networks. Dependency syntactic networks help identify and correct common errors in translation by parsing the syntactic structure and semantic relations of dialect sentences. The evaluation results show that the use of dependent syntactic networks significantly improves the syntactic accuracy and semantic consistency of translation, especially when dealing with complex sentences and dialect-specific expressions. The method not only improves the quality of machine translation, but also enhances the natural fluency of the translation, providing effective technical support for intelligent English translation proofreading. The results of the study prove that the application of dependent syntactic network in dialect translation has a wide range of prospects.