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    Breaking the Resource Bottleneck for Multilingual Parsing

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    CS-TR-4355.pdf (65.76Kb)
    No. of downloads: 562

    Date
    2002-05-22
    Author
    Hwa, Rebecca
    Resnik, Philip
    Weinberg, Amy
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    Abstract
    We propose a framework that enables the acquisition of annotation-heavy resources such as syntactic dependency tree corpora for low-resource languages by importing linguistic annotations from high-quality English resources. We present a large-scale experiment showing that Chinese dependency trees can be induced by using an English parser, a word alignment package, and a large corpus of sentence-aligned bilingual text. As a part of the experiment, we evaluate the quality of a Chinese parser trained on the induced dependency treebank. We find that a parser trained in this manner out-performs some simple baselines inspite of the noise in the induced treebank. The results suggest that projecting syntactic structures from English is a viable option for acquiring annotated syntactic structures quickly and cheaply. We expect the quality of the induced treebank to improve when more sophisticated filtering and error-correction techniques are applied. (Also LAMP-TR-086) (Also UMIACS-TR-2002-35)
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    http://hdl.handle.net/1903/1194
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