Designing XML tag based Sindhi language corpus

Sayed Majid Ali Shah, I. A. Ismaili, Z. Bhatti, Ahmed Waqas
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引用次数: 2

Abstract

Corpus play a vital role in building the foundation for processing any language recourse. Sindhi being a very old language, yet still is very limited in computational resources. In this paper, Sindhi corpus construction is discussed using XML tagging, to facilitate Sindhi Natural Language Processing and Machine learning features. A two-chain structure is defined for Sindhi language consisting of metadata and Sindhi source Document tags. These tags are further divided to create a complex XML structure with custom tags to identify each Sindhi document extracted from numerous sources.
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基于信德语语料库的XML标记设计
语料库在构建处理任何语言资源的基础上起着至关重要的作用。信德语是一种非常古老的语言,但在计算资源方面仍然非常有限。本文讨论了使用XML标记构建信德语语料库,以促进信德语自然语言处理和机器学习的特点。为Sindhi语言定义了由元数据和Sindhi源文档标记组成的双链结构。这些标记进一步划分,以创建一个复杂的XML结构,其中包含自定义标记,以标识从众多源中提取的每个Sindhi文档。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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