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    A Robust statistical model of word frequencies

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    Abstract - SIMC Conference paper, 2019 (88.99Kb)
    Date
    2019-08
    Author
    Ingelby, Michael
    Sharoff, Serge
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    Abstract
    For the purposes of language teaching or automatic language processing it is important to know how frequent a word is. However, a simple procedure counting the number of times a word occurs in a collection of texts leads to many unfortunate artefacts because some words occur too often in a small number of texts leading to frequency bursts. Our task in this paper is to introduce a statistical model which uses methods from robust statistics to estimate the frequencies of words in a collection of texts.
    URI
    http://hdl.handle.net/11071/10467
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    • SIMC 2019 [99]

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