Article Instance

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{
    "pk": 31804,
    "title": "Distribution and frequency: Modelling the effects of speaking rate o n category boundaries using a recurrent neural network",
    "subtitle": null,
    "abstract": "We describe a recurrent neural network model of rate effects on the syllable-initial voicing distinction, specified by voiceonset-time (VOT). The stimuli were stylized /bi/ and /pi/ syllables covarying in VOT and syllable duration. Network performance revealed a systematic rate effect: as syllable duration increases, the category boundary moves toward longer VOT values, mirroring human performance. Two factors underlie this effect: the range of training stimuli with each VOT and syllable duration, and their frequency of occurrence. The latter influence was particularly strong, consistent with exemplar-based accounts of human category formation.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Refereed Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0m6184bv",
    "frozenauthors": [
        {
            "first_name": "Mukhlis",
            "middle_name": "",
            "last_name": "Abu-Bakar",
            "name_suffix": "",
            "institution": "University of Wales",
            "department": ""
        },
        {
            "first_name": "Nick",
            "middle_name": "",
            "last_name": "Chater",
            "name_suffix": "",
            "institution": "University of Edinburgh",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1994-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31804/galley/22872/download/"
        }
    ]
}