Abstract

The Translation Teaching Platform based on Deep Learning represents a groundbreaking advancement in language education, offering students immersive and personalized learning experiences. By leveraging deep learning algorithms, this platform facilitates real-time translation practice, allowing students to engage with authentic language materials and receive immediate feedback on their performance. Through interactive exercises, multimedia resources, and adaptive learning modules, students can enhance their language proficiency in a dynamic and engaging environment. Moreover, the platform's ability to analyze and adapt to individual learning styles enables personalized instruction tailored to each student's needs. With the Translation Teaching Platform based on Deep Learning, language educators can revolutionize their teaching methods and empower students to achieve fluency and proficiency in their target languages. This paper presents the design and implementation of an innovative English-Chinese Translation Teaching Platform based on Deep Learning, augmented by Embedding Feature Probabilistic Segmentation Classification (EF-PSC). The platform leverages advanced deep-learning techniques to provide students with immersive and interactive translation practice opportunities. Through simulated experiments and empirical validations, the efficacy of the platform is evaluated, demonstrating significant improvements in translation accuracy and learning outcomes compared to traditional methods. The EF-PSC model achieved an average accuracy rate of 91% in translating English to Chinese texts, outperforming conventional translation tools by 15%. Additionally, the platform's adaptive learning features enable personalized instruction tailored to each student's proficiency level and learning pace, leading to more effective language acquisition. These findings underscore the potential of deep learning with EF-PSC in revolutionizing translation teaching methods and enhancing language education.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call