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Automatic Extraction of Typological Linguistic Features from Descriptive Grammars

机译:从描述性文法中自动提取类型学语言特征

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The present paper describes experiments on automatically extracting typological linguistic features of natural languages from traditional written descriptive grammars. The feature-extraction task has high potential value in typological, genealogical, historical, and other related areas of linguistics that make use of databases of structural features of languages. Until now, extraction of such features from grammars has been done manually, which is highly time and labor consuming and becomes prohibitive when extended to the thousands of languages for which linguistic descriptions are available. The system we describe here starts from semantically parsed text over which a set of rules are applied in order to extract feature values. We evaluate the system's performance on the manually curated Grambank database as the gold standard and report the first measures of precision and recall for this problem.
机译:本文描述了从传统的书面描述性语法中自动提取自然语言的类型语言特征的实验。特征提取任务在语言学的类型学,家谱学,历史学和其他相关领域中具有很高的潜在价值,这些领域利用语言的结构特征数据库。到目前为止,从语法中提取此类特征都是手动完成的,这非常耗时且费力,并且在扩展到可用语言描述的数千种语言时变得难以理解。我们在此描述的系统从语义分析的文本开始,在文本上应用了一组规则以提取特征值。我们在手动管理的Grambank数据库作为黄金标准上评估了系统的性能,并报告了针对该问题的首批精确度和召回率。

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