331–340 of 359 posts
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> I ended up tokenizing Wikipedia for a blacklist and still missed a lot :( That sounds like an impressive project in itself :)
Words not on Wikipedia, found on other sources, listed by frequency (perhaps with a date-weighting of the source document to reduce rating of older sources), would be an interesting way to find holes in Wikipedia's coverage.
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How are English words made?
I'm not a linguist, but typically words evolve as memes and/or follow etymological patterns made up of root words. It's very rare that they're plausible sounding gibberish attached to plausible arbitrary meanings. This generator seems like it's in the "uncanny valley".... They're all somewhat plausible immitations of words, but the fact that they're not natural can be felt.
Great stuff. Found a real word: refactoring the systematic and systematic reworking of a piece of text to reduce unnecessary redundancies Interesting that the made-up definition is pretty much the real one. https://www.thisworddoesnotexist.com/w/refactoring/eyJ3IjogI...
Got a few comments about that one and a few others! I just updated the existing word blacklist and re-deployed.
a tense tense [sic] of a verb in de-escalation, usually after some verb has been removed or added
"she gave a nervous jibberish if I didn't get the last word"Wow. GPT2 is so, so, so much better than Markov chains. I'm reading these definitions, and the fact that the last few words of the sentence match the first few words subject-wise is pretty amazing. Just some random ones: > denoting or relating to a word (e.g., al-Qadri), the first letter of which is preceded or followed by another letter > a synthetic compound used in perfumery and cosmetic surgery to improve the app…
I always like to point people to /r/SubSimulatorGPT2 [1] as a good example of what GPT2 is able to accomplish. It's a subreddit filled entirely with bots, each user is trained on a specific subreddit's comments matching it's username (so politicsGPT2Bot is trained on comments from the politics subreddit). Go click through a few comment sections and see how mind-bendingly real some comment chains seem. They reply quot…
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Is there any sort of logic to discourage it from using a word in its own definition as it does there?
Not currently, but I should probably reject samples that do! Filed a task here: https://github.com/turtlesoupy/this-word-does-not-exist/issu...
Wow. GPT2 is so, so, so much better than Markov chains. I'm reading these definitions, and the fact that the last few words of the sentence match the first few words subject-wise is pretty amazing. Just some random ones: > denoting or relating to a word (e.g., al-Qadri), the first letter of which is preceded or followed by another letter > a synthetic compound used in perfumery and cosmetic surgery to improve the app…
I always like to point people to /r/SubSimulatorGPT2 [1] as a good example of what GPT2 is able to accomplish. It's a subreddit filled entirely with bots, each user is trained on a specific subreddit's comments matching it's username (so politicsGPT2Bot is trained on comments from the politics subreddit). Go click through a few comment sections and see how mind-bendingly real some comment chains seem. They reply quot…
https://www.reddit.com/r/SubSimulatorGPT2/comments/gh0nwk/la...