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Alignment-based extraction of multiword expressions

机译:基于对齐的多词表达式提取

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Due to idiosyncrasies in their syntax, semantics or frequency, Multiword Expressions (MWEs) have received special attention from the NLP community, as the methods and techniques developed for the treatment of simplex words are not necessarily suitable for them. This is certainly the case for the automatic acquisition of MWEs from corpora. A lot of effort has been directed to the task of automatically identifying them, with considerable success. In this paper, we propose an approach for the identification of MWEs in a multilingual context, as a by-product of a word alignment process, that not only deals with the identification of possible MWE candidates, but also associates some multiword expressions with semantics. The results obtained indicate the feasibility and low costs in terms of tools and resources demanded by this approach, which could, for example, facilitate and speed up lexicographic work.
机译:由于其语法,语义或频率上的特殊性,多字表达式(MWE)已受到NLP社区的特别关注,因为开发用于处理单纯形字的方法和技术不一定适合它们。从语料库中自动获取MWE肯定是这种情况。为了自动识别它们,已经做了很多努力,并取得了很大的成功。在本文中,我们提出了一种在多语言环境中识别MWE的方法,它是单词对齐过程的副产品,它不仅处理可能的MWE候选者的识别,而且还将一些多单词表达与语义相关联。获得的结果表明,这种方法所需的工具和资源具有可行性和低成本,这可以例如促进和加快词典编纂工作。

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