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This is your landing pad for an exciting journey through our NLP engine repository. Pick your favourite link below to find the best-fitting entry point into wiki space. And if you end up with questions not answered as they should, please file an issue so we can make things better!
If you have a background in linguistics, NLP or are just excited about language, take a look at our approach to identify entities and their context in natural language text. Or skip the intro and dive straight into our Language Models or Python interface doc.
Perhaps you already have your mind set on a particular problem that needs ML tackling and might benefit from, say, more accurate negation detection for words or phrases. Look at our list of APIs and pick the one closest to your favourite ML or Feature Engineering toolkit (how about Python?). You may need or want (or need) to build the engine too.
If you're looking for the right mechanism to build iKnow into your Intelligent Applications (such as these), take a look at the code and build process before checking which API works best for your app. The Getting Started page and its demos section are also there for you!
Thanks for that! A first sanity test (for us, that is) would be to try and build the kit on your machine and see if our source code is up to scratch. Next up are a variety of projects where we could use a hand.
Well, then here's a video to get you started and a whole playlist on the InterSystems-embedded flavour of the software.