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{
    "pk": 28454,
    "title": "Integrating Common Ground and Informativeness in Pragmatic Word Learning",
    "subtitle": null,
    "abstract": "Pragmatic inferences are an integral part of language learn-ing and comprehension. To recover the intended meaning ofan utterance, listeners need to balance and integrate differentsources of contextual information. In a series of experiments,we studied how listeners integrate general expectations aboutspeakers with expectations specific to their interactional his-tory with a particular speaker. We used a Bayesian pragmaticsmodel to formalize the integration process. In Experiments1 and 2, we replicated previous findings showing that listenersmake inferences based on speaker-general and speaker-specificexpectations. We then used the empirical measurements fromthese experiments to generate model predictions about howthe two kinds of expectations should be integrated, which wetested in Experiment 3. Experiment 4 replicated and extendedExperiment 3 to a broader set of conditions. In both experi-ments, listeners based their inferences on both types of expec-tations. We found that model performance was also consistentwith this finding; with better fit for a model which incorporatedboth general and specific information compared to baselinesincorporating only one type. Listeners flexibly integrate dif-ferent forms of social expectations across a range of contexts,a process which can be described using Bayesian models ofpragmatic reasoning.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Pragmatics; Word learning; Common ground;Bayesian models"
        }
    ],
    "section": "Papers with Oral Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/69v4v60b",
    "frozenauthors": [
        {
            "first_name": "Manuel",
            "middle_name": "",
            "last_name": "Bohn",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Michael",
            "middle_name": "Henry",
            "last_name": "Tessler",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Michael",
            "middle_name": "C.",
            "last_name": "Frank",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28454/galley/18325/download/"
        }
    ]
}