351–359 of 359 posts
strillation stril·la·tion the action or process of boiling (a subject, typically an animal) at room temperature I have to say this is pretty hilarious
Depends on the liquid you're using!! You can definitely boil a squirrel in liquid nitrogen!
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I’ll add it’s also getting syllables wrong: - incineratory split into in•cin•e•ra•tory which have the suffix wrong (right is tor•y) - re•tro•genic instead of re•tro•gen•ic
I think people here are missing what you're saying because it is subtle. Which is correct. That "troy" is different from "tor•y". "y" should be the suffix. Just like how "fix•ed" would be different from "fi•xed". "y" is the suffix like "itch" vs "itchy". What this means, building off of what the evidence I gave, is that this model is not learning the morphemes (smallest root meaning). This exact characteristic is par…
I am not totally happy with the results but have not had a chance to train my own
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Got a few comments about that one and a few others! I just updated the existing word blacklist and re-deployed.
"fibroblastosis" -- appears to feature in some medical journals "bryosphere" -- something to do with moss "biosprint" -- a brand of yeast. Many of these 'non-words' have already been taken....
Seems close to real word
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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.
Someone should make a Wikipedia page of that list. Oh, wait.
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Someone should make a Wikipedia page of that list. Oh, wait.
I like how you had information, made a sarcastic comment about it, but didn't share the actual information ... just in case your comment might prove helpful ...
I think that page doesn’t exist. patrickthebold wasn’t sarcastically mocking people who were too lazy to look up that page. He was just making the point that as soon as a hypothetical list like that was uploaded to Wikipedia, it should be deleted, since those words would then be words found on Wikipedia.
a dark seaweed with silvery-white fur, the male of which has plumes of cyanobacteria similar to those of the copperhead
"copperfish will hunt bivalve mollusks"
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If someone could make a billion word dictionary of these words, you could get excellent sentence compression rates out of standard English.
GPT-2 itself works off of excellent sentence compression (byte-pair encoding for the input and output)
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Got a few comments about that one and a few others! I just updated the existing word blacklist and re-deployed.
If you're using a blacklist, it it really machine learning? Or are you using it to re-train?