Language is harder for machines than vision and requires tectonic shifts in the way we build these machines. Well, not any more, in WSP077 - Which stands for William Shakespeare 2077 -, we reimagining the way humans read and write, for the better. We’re building state of the art language models with a laser focus on understanding meaning. And to do this, we're simultaneously introducing scientific innovations and tackling frontier software engineering challenges posed by models of this size and sophistication.
For the sake of that, we are using ml5.js library that provides immediate access in the browser to pre-trained models for detecting human poses, generating text, styling an image with another, composing music, pitch detection, and common English language word relationships, and much more.
It also provides an approachable API and examples to help everyone get started
Or Natural Language Processing, makes it possible for computers to understand the human language. Behind the scenes, NLP analyzes the grammatical structure of sentences and the individual meaning of words, then uses algorithms to extract meaning and deliver outputs. In other words, it makes sense of human language so that it can automatically perform different tasks.
We provide more about NLP in our blog so you can know much more about the this project and how you can help to make it even better.