Article Instance

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{
    "pk": 32746,
    "title": "Conditional Probability and Word Discovery: A Corpus Analysis of Speech to Infants",
    "subtitle": null,
    "abstract": "Analyses of an idealized corpus of English speech to infants revealed that simple conditional decision rules can separate frequent bisyllabic wordsftxjm bisyllables not corresponding to words. If infants accurately represent speech in terms of syllables, and compute conditional statistics over these syllables, such computations have the potential to inform infants of likely English words.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Long Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7bp2n6hw",
    "frozenauthors": [
        {
            "first_name": "Daniel",
            "middle_name": "",
            "last_name": "Swingley",
            "name_suffix": "",
            "institution": "Department of Brain and Cognitive Sciences, University of Rochester",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1999-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32746/galley/23808/download/"
        }
    ]
}