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机器翻译培训数据为英语-Tshivenḓa

Tanja Gaustad¹, Cindy A McKellar¹, Martin J Puttkammer¹

¹Centre for Text Technology (CTexT), North-West University, 11 Hoffman Street, Potchefstroom, South Africa.

|September 24, 2024

概括

这项研究为机器翻译提供了一个新的英语-Tshivenḓa平行语料库. 该数据集包括网络抓取和专业翻译的数据,有助于提文语语言技术的发展.

科学领域:

计算语言学计算语言学
自然语言处理自然语言处理.
非洲语言非洲语言

背景情况:

机器翻译 (MT) 系统需要大型,高质量的并行体来进行有效的培训.
在历史上,在南非使用的Tshivenḓa语言缺乏足够的数字资源来完成先进的NLP任务.

研究的目的:

描述一个新的平行语库的创建和特征,用于英语-Tshivenḓa机器翻译.
为开发Tshivenḓa MT系统和其他语言技术提供有价值的资源.

主要方法:

通过搜索南非政府网站和出版商的匹配文件收集数据.
通过专业翻译英语数据到 Tshivenḓa 来增加库.
关于数据对齐,语料库清理和单词计数统计的详细信息.

主要成果:

编制了大量的英语-Tshivenḓa数据的平行数据库.
该集体包括对齐的并行句子和单语言的Tshivenḓa文本.
数据经历了严格的清理和调整过程.

结论:

开发的数据集对Tshivenḓa语言资源做出了重大贡献.
这个语料库可以用于训练机器翻译模型和推进 Tshivenḓa 核心技术.
这些数据还支持语言研究和开发其他 Tshivenḓa NLP 工具.

关键词:

双语数据是双语数据.英语英语英语英语英语英语英语英语人类语言技术人类语言技术机器翻译机器翻译自然语言处理自然语言处理.平行体的身体是平行体.在西班牙的西班牙语.

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