本研究为资源匮乏的Sindhi语言开发了一个包含超过6100万单词的大型语料库。该语料库通过网络爬虫从多个网络资源中收集，并经过精心预处理以过滤噪声文本。语料库的创建解决了Sindhi语言在自然语言处理（NLP）领域缺乏大规模未标注语料的问题，为训练神经词嵌入提供了基础。此外，本研究还利用了GloVe、Skip-Gram和Continuous Bag of Words等先进的词2vec算法来生成S
Natural language processing is a key component to computational legal science. Network analysis is also very important to further understand the structure of references in legal documents. In this pap
