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{
    "pk": 49450,
    "title": "Content-agnostic online segmentation as a core operation",
    "subtitle": null,
    "abstract": "We approach the problem of explaining segmentation --- the human capacity to partition input streams into representations of appropriate form and content for efficient downstream processing --- by exploring a theoretically minimalistic and computationally plausible account of phoneme-to-word chunking. Through computational models, mathematical proofs, algorithm design, and observer model simulations in two languages, we suggest that online segmentation can be guided by content-agnostic properties of internal memory structures (i.e., lexicality and length type frequency).\nOur theoretical and empirical findings point to a formal link between such properties with practical performance benefits. Together, these contributions make progress on a fully explicit computational- and algorithmic-level account with plausible implementational-level primitives.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Cognitive Neuroscience; Computer Science; Linguistics; Computational Modeling; Mathematical modeling"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5c62p8tz",
    "frozenauthors": [
        {
            "first_name": "Federico",
            "middle_name": "",
            "last_name": "Adolfi",
            "name_suffix": "",
            "institution": "ESI Neuroscience, Max Planck Society",
            "department": ""
        },
        {
            "first_name": "Yue",
            "middle_name": "",
            "last_name": "Sun",
            "name_suffix": "",
            "institution": "Ernst StrŸngmann Institute for Neuroscience",
            "department": ""
        },
        {
            "first_name": "David",
            "middle_name": "",
            "last_name": "Poeppel",
            "name_suffix": "",
            "institution": "New York University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-01T11:00:00-07:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49450/galley/37412/download/"
        }
    ]
}