A Beginner’s Guide to Natural Language Processing | Flexibits

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Summary

Here are some examples you’re probably familiar with: • Automatic captioning services interpret spoken input from a video clip, then generate text output that matches what’s being said. There’s an amazing amount of different techniques being developed to tackle each of these specific NLP applications in fields ranging from data science to computational linguistics to spectrographic analysis. Most of the predictive language models you encounter on a daily basis are LLMs — like when a search bar tries to guess the rest of your query, or your phone tries to finish your text for you. As for the natural language engine powering the Flexibits parser, we think it’s the best of both worlds: it’s a machine learning model with additional rules on top of it. The term “artificial intelligence” is hard to pin down in the first place, and natural language processing consists of a lot of different methods and applications, as we’ve seen.

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