Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, Indiana 47405, USA.
J Acoust Soc Am. 2012 Aug;132(2):EL74-80. doi: 10.1121/1.4731641.
The relative abilities of word frequency, contextual diversity, and semantic distinctiveness to predict accuracy of spoken word recognition in noise were compared using two data sets. Word frequency is the number of times a word appears in a corpus of text. Contextual diversity is the number of different documents in which the word appears in that corpus. Semantic distinctiveness takes into account the number of different semantic contexts in which the word appears. Semantic distinctiveness and contextual diversity were both able to explain variance above and beyond that explained by word frequency, which by itself explained little unique variance.
使用两个数据集比较了词频、语境多样性和语义独特性在预测噪声中口语识别准确性方面的相对能力。词频是一个单词在文本语料库中出现的次数。语境多样性是单词在该语料库中出现的不同文档数量。语义独特性考虑了单词出现的不同语义环境数量。语义独特性和语境多样性都能够解释超出词频解释的方差，而词频本身解释的独特方差很小。
