An Accent Marking Algorithm of English Conversion System Based on Morphological Rules

Authors

  • Yanxia Zhao Zhejiang Business College, Hangzhou, China
  • Wei Ren Zhejiang Business College, Hangzhou, China
  • Zheng Li Beijing Union University, Beijing, China

DOI:

https://doi.org/10.3991/ijet.v16i01.19717

Abstract


Facing the English conversion system, the existing accent marking algorithms cannot acquire the morphological rules of English, making the accent marking inaccurate, inefficient, and time-consuming. To solve these problems, this paper puts forward an accent marking algorithm of English conversion system based on morphological rules. Specifically, the English audios in a self-developed English corpus were classified by the speaker classification software based on hidden Markov model, as well as audio classification technology, producing the morphological rules of English. After that, the English accents were marked by the maximum entropy model in the English conversion system. The proposed method was proved accurate and efficient in accent marking through experiments. The research results provide a good reference for marking the accents in English conversion system.

Author Biographies

Yanxia Zhao, Zhejiang Business College, Hangzhou, China

Yanxia Zhao is a member of School of International Studies, Zhejiang Business College, Hangzhou, China, Email: yxzhaoTina@163.com. She works as a teacher and a scholar specializes in Applied linguistics, language learning and English pronunciation.

Wei Ren, Zhejiang Business College, Hangzhou, China

Wei Ren is a member of School of E-commerce, Zhejiang Business College, Hangzhou, China, Email: 1070903990@qq.com. She is a professor dedicated to computer algorithm, information technology and e-commerce research.

Zheng Li, Beijing Union University, Beijing, China

Zheng Li is a member of College of Applied Science and Technology, Beijing Union University, Beijing, China, Email: nbl_zheng@buu.edu.cn. She is a vice professor who researches on applied science and technology and education management.

Downloads

Published

2021-01-12

How to Cite

Zhao, Y., Ren, W., & Li, Z. (2021). An Accent Marking Algorithm of English Conversion System Based on Morphological Rules. International Journal of Emerging Technologies in Learning (iJET), 16(01), pp. 234–246. https://doi.org/10.3991/ijet.v16i01.19717

Issue

Section

Papers