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Discriminant analysis with incomplete data and its application to estimation of words' cooccurrency

机译:不完全数据判别分析及其在单词共现估计中的应用

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摘要

If tuples of words which are able to cooccur are known sufficiently, it is possible to disambiguate syntactic structures of a sentence. But such tuples are too many to collect sufficiently even using a huge syntactically analized corpus. This paper proposes a new method for estimating coocurrency of tuples of words with a syntactically analized corpus based on an extension of the discriminant analysis.
机译:如果能够共现的单词元组足够广为人知,则可以消除句子的句法结构的歧义。但是,即使使用巨大的语法分析语料库,此类元组也太多了,无法充分收集。本文提出了一种新的基于判别分析的扩展方法,利用句法分析的语料库估计单词元组的同现度。

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