数据增强 英语 - 印度尼西亚 - 马杜拉斯平行体数据集使用神经机器翻译
Fairuz Iqbal Maulana1, Yaya Heryadi1, Gede Putra Kusuma2
1Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia.
Data in brief
|September 29, 2025
概括
INMAD数据集提供23086个英语-印尼语-马杜拉语句子,对于自然语言处理 (NLP) 研究至关重要. 该集体支持马杜拉斯语在马杜拉斯大学的语言研究.
科学领域:
- 计算语言学 计算语言学
- 语料库语言学 语料库语言学
- 语言技术 语言技术
背景情况:
- 对于像马杜雷斯语这样的低资源语言,并行语体的有限可用性阻碍了NLP的发展.
- 现有的马杜拉斯语语言资源对于高级自然语言处理 (NLP) 任务是不够的.
研究的目的:
- 介绍INMAD,一个新的英语-印尼语-马杜拉斯语翻译句子的平行语料库.
- 为马杜拉斯NLP研究提供基础数据集,特别是"engghi-enten"层面.
主要方法:
- 数据集的创建涉及两个阶段:结合源并行体和数据增强通过使用MarianMT的反向翻译.
- 该语料库包括23086个句子对,由马杜拉斯语言专家验证.
主要成果:
- INMAD数据集包含23086个精心翻译的句子行.
- 该语料集中在马杜雷斯语的"engghi-enten"级别.
结论:
- INMAD 作为一个有价值的,验证的资源,用于推进马杜拉斯语的语言处理.
- 这一数据集将为马杜拉斯语的NLP研究做出重大贡献.
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