As languages change over time, NLP tools and models must keep pace. This talk gives practical examples of how NLP tools can be adjusted for modern languages that are diverging, merging, and evolving at a rapid pace as people try to write how they speak.
We will review the example text from the internet and discuss best practice approaches to accurately processing this text.
