Design of Customized Corpus Based on Big Data

Corpora play a critical role in the fields of linguistics and natural language processing, but many available corpora lack professional standards and are too general. Thus, creating customized corpora that meet specific needs is essential. In this paper, we propose a method for creating corpora using big data technology. The method involves collecting a large amount of data from the internet, utilizing Hadoop as the basic framework, using HBase as the data warehouse, performing data cleaning, filtering, and standardized structural processing, and finally conducting classification and archiving. The data is then imported into a relational database to create a flexible and customizable corpus system.