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A Language-Independent Approach to Extracting Derivational Relations from an Inflectional Lexicon

机译:一种独立于语言的方法来提取inferctional lexicon的衍生关系

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In this paper, we describe and evaluate an unsupervised method for acquiring pairs of lexical entries belonging to the same morphological family, i.e., derivationally related words, starting from a purely inflectional lexicon. Our approach relies on transformation rules that relate lexical entries with the one another, and which are automatically extracted from the inflected lexicon based on surface form analogies and on part-of-speech information. It is generic enough to be applied to any language with a mainly concatenative derivational morphology. Results were obtained and evaluated on English, French, German and Spanish. Precision results are satisfying, and our French results favorably compare with another resource, although its construction relied on manually developed lexicographic information whereas our approach only requires an inflectional lexicon.
机译:在本文中,我们描述并评估了从纯粹的拐点的词汇中获取属于同一形态家庭的词汇条目对的无监督方法,即从纯粹的拐点开始。我们的方法依赖于转换规则,这些规则与彼此相关的词汇表项,并且基于表面形式的类别类别和言语部分地自动从变形的词典中提取。它足以适用于任何具有主要连接衍生形态的语言。获得并评估了英语,法语,德语和西班牙语的结果。精确的结果是令人满意的,我们的法国结果与另一个资源有利地比较,尽管其建设依赖于手动开发的词典信息,但我们的方法只需要折衷的词典。

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