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| Siamese Contrastive Network Based Multilingual Parallel Sentence Pair Extraction between Chinese and Southeast Asian Languages |
| ZHOU Yuanzhuo1,2, MAO Cunli1,2, SHEN Zheng1,2, ZHANG Siqi1,2, YU Zhengtao1,2, WANG Zhenhan1,2 |
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504;
2. Key Laboratory of Artificial Intelligence in Yunnan Province, Kunming University of Science and Technology, Kunming 650504 |
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Abstract The poor performance of parallel sentence pair extraction application on Southeast Asian languages with scarce resources is primarily due to the weak representation capabilities of the sentence pair extraction models caused by the lack of training corpora. Therefore, a siamese contrastive network based multilingual parallel sentence pair extraction between Chinese and Southeast Asian languages is proposed to optimize model structure, training strategy and data. Firstly, a siamese contrastive network framework is employed, integrating contrastive learning concept into the siamese network to enhance the representation capability for parallel sentence pairs. Next, a strategy of joint training with similar languages is introduced to share knowledge effectively and improve the learning ability of the model. Finally, Chinese-mixed Southeast Asian parallel sentence pairs are constructed by multilingual word replacement, providing abundant sample information for training. Experiments on Chinese-Thai and Chinese-Lao datasets demonstrate that the proposed method effectively enhances the performance of parallel sentence pair extraction.
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Received: 06 September 2023
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| Fund:National Natural Science Foundation of China(No.62166023,U21B2027,61972186), Major Science and Technology Projects of Yunnan Province(No.202103AA080015,202203AA080004,202302AD080003), Yunnan Fundamental Research Projects(No.202301AT070471) |
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Corresponding Authors:
MAO Cunli, Ph.D., professor. His research interests include natural language processing, information retrieval and machine translation.
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| About author:: ZHOU Yuanzhuo, master student. His research interests include natural language processing and machine translation. SHEN Zheng, master student. His research interests include natural language processing and machine translation.ZHANG Siqi, Ph.D. candidate. Her research interests include natural language processing and machine translation.YU Zhengtao, Ph.D., professor. His research interests include natural language processing, information retrieval and machine translation.WANG Zhenhan, Ph.D. candidate. His research interests include natural language processing and machine translation. |
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2023, Vol. 36 
