there are, in principle, more sophisticated mathematical models that we can try to create, beyond something like a markov chain, but the more complicated the model, the more difficult it is to generate
@activitypub_fetcher
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and moreover, the models produced, even when they're analyzable, generally aren't able to provide insight into the kinds of phenomena that linguists are interested in. you the linguist have to provide that insight yourself
and moreover, the models produced, even when they're analyzable, generally aren't able to provide insight into the kinds of phenomena that linguists are interested in. you the linguist have to provide that insight yourself
those models are extremely constrained in their utility to understanding language because the results that they spit out are, at best, difficult to analyze, and at worst, almost completely blackboxes in the case of neural nets
those models are extremely constrained in their utility to understanding language because the results that they spit out are, at best, difficult to analyze, and at worst, almost completely blackboxes in the case of neural nets
those models are extremely constrained in their utility to understanding language because the results that they spit out are, at best, difficult to analyze, and at worst, almost completely blackboxes in the case of neural nets
and while there is a lot of stuff we can do to build purely empirical models of text, such as create markov models, or these days create various deep net things, there's a lot we CAN'T do
and while there is a lot of stuff we can do to build purely empirical models of text, such as create markov models, or these days create various deep net things, there's a lot we CAN'T do
when we're trying to work on language data, pure empirical work is functionally impossible
if we start from, let's say, written documents, whether it's formal writing or casual, we still just have a giant pile of text
historically, when trying to build a theory or model of language, we linguists (i'm a former academic linguist, so i claim the "we" :p) do a combination of empirical modelling and theoretical noodling
historically, when trying to build a theory or model of language, we linguists (i'm a former academic linguist, so i claim the "we" :p) do a combination of empirical modelling and theoretical noodling
I will add exactly one extremely tangential nitpick, which is that linguistics did not rely entirely or even mostly on written corpora, and casual speech was not mostly a blackbox, until the internet came along. but that requires some context on how linguistics is done, so lemme give that
I will add exactly one extremely tangential nitpick, which is that linguistics did not rely entirely or even mostly on written corpora, and casual speech was not mostly a blackbox, until the internet came along. but that requires some context on how linguistics is done, so lemme give that
I will add exactly one extremely tangential nitpick, which is that linguistics did not rely entirely or even mostly on written corpora, and casual speech was not mostly a blackbox, until the internet came along. but that requires some context on how linguistics is done, so lemme give that
@grumpygamer Monkey Island (Taylor's Version) 🤔
just listened to @pluralistic's How To Think About Scraping, which is a REALLY good summary of the (imo) correct view of scraping and training in relation to AI. you should check it out
https://craphound.com/news/2023/09/24/how-to-think-about-scraping/
just listened to @pluralistic's How To Think About Scraping, which is a REALLY good summary of the (imo) correct view of scraping and training in relation to AI. you should check it out
https://craphound.com/news/2023/09/24/how-to-think-about-scraping/
just listened to @pluralistic's How To Think About Scraping, which is a REALLY good summary of the (imo) correct view of scraping and training in relation to AI. you should check it out
https://craphound.com/news/2023/09/24/how-to-think-about-scraping/
Unless she wants to buy MI from Disney for me, then we're BFFs.
Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker. Do not get a smart speaker.
https://www.nbcnews.com/tech/security/amazon-alexa-ai-listening-to-you-me-voice-save-record-rcna117205
