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mhtessler's profile
MH Tessler
MH Tessler
MH Tessler
@mhtessler

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MH Tessler

@mhtessler

postdoc at MIT studying language, cognition, bayesian modeling, and coffee

mit.edu/~tessler
Joined June 2011

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    1. MH Tessler‏ @mhtessler Jan 15

      I am happy to announce that my paper on generic language "The Language of Generalization" has been accepted at Psych Review. A preprint is available here: https://arxiv.org/abs/1608.02926  1/8

      4 replies 35 retweets 135 likes
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    2. MH Tessler‏ @mhtessler Jan 15

      We present a computational theory of generic and habitual language ("Birds fly"; "John swims after work"). This kind of language conveys abstract generalizations while being syntactically simple and easily understood by young children. Yet it is philosophically puzzling 2/8

      1 reply 3 retweets 4 likes
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    3. MH Tessler‏ @mhtessler Jan 15

      "Birds fly" is a true sentence even though penguins dont fly. "Birds lay eggs" is true while "Birds are female" is not, even though the same darn birds (females) have the property. "Jake mows his neighbor's lawn" doesn't mean Jake is out there night and day mowing 3/8

      3 replies 7 retweets 18 likes
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      MH Tessler‏ @mhtessler Jan 15

      Our basic idea is generics and habituals express that an event or property occur relatively often, where what counts as "often" depends upon one's prior expectations. We formalized by harnessing the tools of formal semantics and Bayesian models of cognition 4/8pic.twitter.com/ynPBDUtJU6

      8:29 AM - 15 Jan 2019
      • 3 Retweets
      • 10 Likes
      • Minh Le Elizabeth Coppock Shaoming Wang Michael Anes Krisha Aghi Adam J Calhoun tj mahr 🍕🍍 Robin S. Turner its the heat
      1 reply 3 retweets 10 likes
        1. New conversation
        2. MH Tessler‏ @mhtessler Jan 15

          We predicted that attested differences in judgments could be traced back to differences in prior knowledge, which indeed they could 5/8pic.twitter.com/OIqfSFONUc

          1 reply 2 retweets 2 likes
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        3. MH Tessler‏ @mhtessler Jan 15

          We tested the model empirically by having participants judge sentences as true or false, while also measuring prior knowledge in diverse case studies. The model matches human judgments with a high degree of quantitative accuracy 6/8pic.twitter.com/EWCx0CkNam

          1 reply 4 retweets 6 likes
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        4. MH Tessler‏ @mhtessler Jan 15

          It is a further demonstration that even the simplest utterances exhibit an extreme context-dependence that must be taken into account to understand their meaning. It also shows the power of combining the tools of formal linguistics with computational models in psychology 7/8

          2 replies 6 retweets 11 likes
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        5. MH Tessler‏ @mhtessler Jan 15

          Finally, having a computational model of generic and habitual sentences allows us to quantitatively study how learning from language compares to other kinds of learning (e.g., observation, pedagogy) as well as understand how knowledge is acquired from language 8/8

          0 replies 3 retweets 6 likes
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        6. End of conversation

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