This corpus-based study of pluralized non-count nouns (informations, advices, etc.) uses collocation-derived measures (determiners vs. bare noun and mass quantifiers) to extract potential candidates of non-count nouns in a bottom-up approach from the British National Corpus (BNC), allowing the detection of grammatical categories from distributional features. We then use this token list to retrieve data on pluralization of non-counts from nine annotated components of the International Corpus of English (ICE). While the distinction between count and non-count nouns is gradient rather than categorical, it is still possible to distinguish between standard and non-standard pluralization of non-counts. Qualitative analyses of our data show that non-standard pluralization of non-count nouns is regularly attested in second-language varieties, including previously unrecorded types; however, it is also occasionally found in first-language varieties. We discuss implications of our corpus results for common explanations of pluralized non-count nouns, such as substrate influence, language learning effects and historical input. By combining a bottom-up corpus-based approach with fine-grained qualitative analyses we can provide a more nuanced view of pluralization of non-counts across ENL and ESL for the investigation of World Englishes.

中文翻译：

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跨英语的复数非计数名词：语料库语言方法

这项基于语料库的多元非计数名词（信息，建议等）研究使用搭配派生的度量（确定因素与裸名词和质量量词）从下至上的方法中提取非计数名词的潜在候选者。英国国家语料库（BNC），允许从分布特征中检测语法类别。然后，我们使用此令牌列表从国际英语语料库（ICE）的九个带注释的组件中检索非计数的复数数据。尽管count和non-count名词之间的区别是梯度而不是类别，但仍可以区分非计数的标准和非标准复数。我们对数据的定性分析表明，在第二种语言中，经常会证明非计数名词的非标准复数形式，包括以前未记录的类型；但是，它有时也出现在第一语言的变体中。我们讨论了语料库结果对多个非计数名词的常见解释的含义，例如底物影响，语言学习效果和历史输入。通过将自下而上的基于语料库的方法与细粒度的定性分析相结合，我们可以提供更为细微的观点，用于研究ENL和ESL中非计数的多元性，以研究世界英语。