@inproceedings{454676ca1a6b401d92111fca9ac7c163,
title = "結合BERT 與Wav2vec 2.0 提升第二外語受試者之自動英語口說評測",
abstract = "Due to the increasing popularity of English as a second language, there has been a growing interest in developing Computeassisted Language Learning (CALL) applications that focus on automated assessing of spoken language proficiency. In the past, evaluating English speaking proficiency has been a time-consuming and labor-intensive process. Therefore, developing an efficient method for automated grading can establish consistent evaluation standards in a more timely and costeffective manner. In this study, we explore the fusion of BERT and Wave2vec2.0 modeling strategies to assess holistic English speaking proficiency scores, withe an extensive set of experiments conducted on the publicly available ICNALE dataset. The experimental results indicate the superiority of our approach in relation to the existing baselines.",
keywords = "Automatic assessment of spoken language proficiency, Compute-assisted language learning, Multi-modal system",
author = "Peng, {Wen Hsuan} and Wang, {Hsin Wei} and Sally Chen and Berlin Chen",
note = "Publisher Copyright: {\textcopyright} 2023 ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing. All rights reserved.; 35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023 ; Conference date: 20-10-2023 Through 21-10-2023",
year = "2023",
language = "繁體中文",
series = "ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
pages = "98--105",
editor = "Jheng-Long Wu and Ming-Hsiang Su and Hen-Hsen Huang and Yu Tsao and Hou-Chiang Tseng and Chia-Hui Chang and Lung-Hao Lee and Yuan-Fu Liao and Wei-Yun Ma",
booktitle = "ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing",
}