Language Changes Detection

By analyzing large amounts of text from different time periods, our system can identify words that have changed in meaning or usage over time. For example, words that were once commonly used may become archaic or obsolete, while new words may enter the language to fill a semantic gap.

This information can be used to update language education materials, improve the accuracy of translations, and gain a deeper understanding of the evolution of a language. It can also be used to identify trends in language usage and to predict how language may change in the future.

Overall, our project helps to shed light on the dynamic nature of language and can provide valuable insights for a variety of applications.