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jsvine avatar jsvine commented on May 22, 2024

HI Tristan, and interesting question! That feature does not currently exist, largely because of the way Markov chains work (i.e., starting with a known state and generating subsequent states based on observed probabilities).

If you want to implement this for your own projects, the simplest / brute-force-iest approach is probably just to generate a bunch of sentences and keep only those that contain your desired word.

A more efficient approach (but more complex to code) might be to filter the model's dictionary of possible states, and simultaneously work backwards and forwards from your desired word.

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OtakuMegane avatar OtakuMegane commented on May 22, 2024

The "brute-force" approach is what I had to settle on a while back. It works but obviously not very efficient and is prone to some issues of balancing attempts vs processing time.

The one case I know that actually builds around a given word is the old Markovsky IRC. As far as I can interpret, it does implement the idea of building both backwards and forwards from the word. I pulled the specific function out into a paste in case the actual code helps (it's C++): https://pastebin.com/wXNkt8ne

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jsvine avatar jsvine commented on May 22, 2024

Thanks for sharing that! It's really interesting. At least for now, though, I don't plan on adding that feature. Pull requests welcome, however! (So long as they don't involve rearchitecting the core methods.)

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