Overview
Corpus-based translation studies is the use of large amounts of written texts in different languages to understand how translation works. It applies digital methods to the analysis of various sources, such as bilingual and parallel corpora. With this approach, researchers can identify language differences and similarities, uncover patterns of usage, examine how language is used at discourse level, and ultimately gain new insights into how language works in translation. Corpus-based translation studies is also used in machine translation, where digital tools are used to analyze data in order to determine how to make translations from one language to another. Overall, corpus-based translation studies is a powerful tool for understanding language, which is essential for improving translation accuracy and quality.