Archives: Tweets
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Said “Four” on Coursera NLP quiz (about text norm!…
Said “Four” on Coursera NLP quiz (about text norm!); marked wrong. Retake: “4” marked correct. Robot grader not so good at text norm. #irony
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WTH, Seattle: snow?! In March?
WTH, Seattle: snow?! In March?
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@jazzlinguist black swans exist, but disprove apoc…
@jazzlinguist black swans exist, but disprove apocryphal “all swans are white”. Stats models don’t suffer with a single counterexample.
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@GRAMMARHULK @FEMINISTHULK … GRAMMARHULK WELCOME…
@GRAMMARHULK @FEMINISTHULK … GRAMMARHULK WELCOME IN DESCRIPTIVIST POSSE. BIZARRO AM UNWELCOME TOO
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@nmashton probably so, but I don’t know the latter…
@nmashton probably so, but I don’t know the latter, so I can’t be sure they aren’t isomorphic at some deep level.
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@nmashton so your sentence reads “these few dozen…
@nmashton so your sentence reads “these few dozen unicornate languages…” ? (engineering might say “low model-theoretic probability”, BTW)
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@feministhulk HULK SO MAD HULK FORGET TO OMIT AUXI…
@feministhulk HULK SO MAD HULK FORGET TO OMIT AUXILIARY VERBS. cc @GRAMMARHULK (and amen to original sentiment!)
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@nmashton pls tweet your “unicornate” exemplar sen…
@nmashton pls tweet your “unicornate” exemplar sentence. I’m an empiricist. If you use it w/o linguist’s *, it works for me. @maryam_bakht
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@nmashton @drjavafox what is “dis-predicted” besid…
@nmashton @drjavafox what is “dis-predicted” besides “improbable”? maybe you *do* want “black-swannish” if 1 counterexample sinks the theory
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@maryam_bakht @nmashton of course, “unicornish”, “…
@maryam_bakht @nmashton of course, “unicornish”, “unicornate” and “unicornoid” are also possibilities. N->J productive morphology FTW!