论文标题
频率，可接受性和选择：条款插入的案例研究
Frequency, Acceptability, and Selection: A case study of clause-embedding
论文作者
论文摘要
我们研究了在特殊的子分类帧中发现动词的频率与这些动词在这些框架中的可接受性之间的关系，尤其集中于从属子句捕获动词，例如“ Think”，“ Want”，“ Want”和“ Tell”。我们表明，动词的子分类帧频率分布是其在这些框架中的可接受性的糟糕预测指标 - 至多解释了有关整个词典可接受性的总信息的1/3 - 而且，此外，该通用矩阵分解技术用于模拟Verbs在子分类框架中的可接受性的可接受性，仅汇总了可接受性。所有数据和代码均可在http://megaattitude.io上找到。
We investigate the relationship between the frequency with which verbs are found in particular subcategorization frames and the acceptability of those verbs in those frames, focusing in particular on subordinate clause-taking verbs, such as "think", "want", and "tell". We show that verbs' subcategorization frame frequency distributions are poor predictors of their acceptability in those frames---explaining, at best, less than 1/3 of the total information about acceptability across the lexicon---and, further, that common matrix factorization techniques used to model the acquisition of verbs' acceptability in subcategorization frames fare only marginally better. All data and code are available at http://megaattitude.io.
