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{
    "pk": 28685,
    "title": "Efficiency of Learning in Experience-Limited Domains:Generalization Beyond the WUG Test",
    "subtitle": null,
    "abstract": "Learning to read English requires learning the complex statis-tical dependencies between orthography and phonology. Pre-vious research has focused on how these statistics are learnedin neural network models provided with as much training asneeded. Children, however, are expected to acquire this knowl-edge in a few years of school with only limited instruction. Weexamined how these mappings can be learned efficiently, de-fined by tradeoffs between the number of words that are explic-itly trained and the number that are correct by generalization.A million models were trained, varying the sizes of randomly-selected training sets. For a target corpus of about 3000 words,training sets of 200–300 words were most efficient, producinggeneralization to as many as 1800 untrained words. Composi-tion of the 300 word training sets also greatly affected general-ization. The results suggest directions for designing curriculathat promote efficient learning of complex material.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "reading; efficient learning; generalization; compu-tational modeling; human and machine learning"
        }
    ],
    "section": "Papers with Poster Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7bp911zm",
    "frozenauthors": [
        {
            "first_name": "Christopher",
            "middle_name": "R.",
            "last_name": "Cox",
            "name_suffix": "",
            "institution": "Louisiana State University",
            "department": ""
        },
        {
            "first_name": "Matthew",
            "middle_name": "Cooper",
            "last_name": "Borkenhagen",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Mark",
            "middle_name": "S.",
            "last_name": "Seidenberg",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "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/28685/galley/18556/download/"
        }
    ]
}