Building online English interpretation teaching system based on neural network
Year: 2025
Type: conference-paper
Abstract: With the rapid development of artificial intelligence technology, neural network has been widely used in the field of language processing. By integrating neural network, speech recognition and other technologies, this study designed an online English interpretation teaching system, which can not only realize real-time speech recognition and translation, but also provide interpretation practice and assessment functions, providing an efficient and convenient online learning environment for English interpreting learners. The experimental results show that the system has a good performance in improving students’ translation accuracy and oral expression ability, and is helpful for students to better master interpreting skills.
Source: Procedia Computer Science
Authors: Min Lu, Mengxuan Zhou, Haiyan Chen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410716278