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{
    "pk": 26625,
    "title": "Building bilingual semantic representations based on a corpus-based statisticallearning algorithm",
    "subtitle": null,
    "abstract": "In the current study, we applied a corpus-based statistical learning algorithm to derive semantic representations ofwords under bilingual situations (English and Chinese). The algorithm relies on the analyses of contextual information extractedfrom a text corpus, specifically, analyses of word co-occurrences in a large-scale electronic database of text. Particularly, weexamined how the semantic structure of L2 words can be built based on and influenced by the semantic representations of L1words in a sequential L2 learning situation. We got the semantic representations under various conditions and the results wereprocessed and illustrated on self-organizing maps, an unsupervised neural network model that projects the statistical structureof the context onto a 2-D space. We further discussed a couple of factors that affected the validity of the representations.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1z98c8bs",
    "frozenauthors": [
        {
            "first_name": "Xiaowei",
            "middle_name": "",
            "last_name": "Zhao",
            "name_suffix": "",
            "institution": "Emmanuel College",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2016-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26625/galley/16261/download/"
        }
    ]
}