Comments (3)
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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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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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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Related Issues (20)
- subclassing markovify.Text to allow for different types of 'sentences' HOT 3
- Decreasing export size / memory usage HOT 1
- Character level chains instead of word level? HOT 2
- Markovify always outputs "None" with russian corpus HOT 12
- markovify and music HOT 1
- Thank you for a job well done! HOT 2
- I can’t install because of the encoding of the file HOT 1
- Can I generate sentence with only two words? HOT 2
- generate sentence with it's prediction HOT 2
- spaCy model shortcuts are deprecated HOT 1
- Non-english characters are not being displayed correctly.
- markov_text_model.make_sentence_with_start KeyError HOT 1
- Fallback without building a new model? HOT 1
- “python_requires” should be set with “>=3.6”, as markovify 0.9.3 is not compatible with all Python versions. HOT 1
- Control generated sentences randomness HOT 2
- - HOT 2
- missing utf-8 BOM lead to codec failures during tests on windows
- Markovify - Markov chain : Seed and Condition to text generated based in input. HOT 2
- markovify's make_sentence_with_start() doesn't seem to work properly HOT 11
- Can't install on browser webpage.
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