Mining a Lexicon of Technical Terms and Lay Equivalents
Mining a Lexicon of Technical Terms and Lay Equivalents
复制标题
挖掘技术术语和非专业术语的词典
DOI：
10.3115/1572392.1572402
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发表时间：
2007
影响因子：
10.1
通讯作者：
K. Sutaria
中科院分区：
文献类型：
--
作者：
Noémie Elhadad;K. Sutaria
我们提出了一种语料库驱动的方法，用于构建语义等效对的技术和非专业医学术语的词典。使用临床研究摘要的平行语料库和为外行读者撰写的相应新闻报道，我们为外行读者识别出与技术术语具有良好语义等价的术语。我们的方法依赖于关联度量。结果表明，尽管我们的语料库规模较小，但已经确定了有希望的配对数量。
We present a corpus-driven method for building a lexicon of semantically equivalent pairs of technical and lay medical terms. Using a parallel corpus of abstracts of clinical studies and corresponding news stories written for a lay audience, we identify terms which are good semantic equivalents of technical terms for a lay audience. Our method relies on measures of association. Results show that, despite the small size of our corpus, a promising number of pairs are identified.