Article Instance

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{
    "pk": 33070,
    "title": "Lexical Change as Nonlinear Interpolation",
    "subtitle": null,
    "abstract": "Current, rule-based theories of grammar do not provide much \ninsight into how languages can develop new behaviors over \ntime. Yet, textual data indicate that languages usually evolve \nnew grammatical patterns by gradually extending existing ones. \nI show how a grammar model that is sensitive to prototype structure can model innovation as a process of extrapolation along \nsalient dimensions of the category clusters. A Connectionist network provides a usefully interpretable implementation. \nConfirming evidence comes from a study of the development \nof English be going to as a marker of future tense.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2gk3z9p0",
    "frozenauthors": [
        {
            "first_name": "Whitney",
            "middle_name": "",
            "last_name": "Tabor",
            "name_suffix": "",
            "institution": "University of Rochester",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33070/galley/24131/download/"
        }
    ]
}