Lexical Chunks and the Nature of Idiolects

我的项目的关键领域是个人语言和作者分析。字符n元语法是n个字符的字符串。例如，猫中的2克是ac、ca和at。字符n-gram似乎是识别作者的一种有用的方式，然而对此的解释存在争议。一成不变地使用小块字母或单词对个人来说可能是独特的，这并不是直觉上的，但它确实可以。格里夫等人(2019)等人的发现就是一个例证，他们成功地使用n元语法识别了文本的作者。我决心采取一种以证据为基础的方法来理解为什么n元语法是有用的。计算机科学家贡献了关于这个主题的大部分研究，然而现在需要更多关于语言学理论的专家投入，我希望对此做出贡献。我的硕士论文将是对n元语法追踪及其在主题中所占程度的较小规模的研究。

The key areas of my project are idiolect and authorship analysis. Character n-grams are strings of n characters. For example, the 2-grams in a cat are ac, ca and at. Character n-grams appear to be a useful way of identifying authors, however the explanations for this are disputed. It is not intuitive that the consistent use of small chunks of letters or words could be distinctive to an individual, and yet it can be. This has been exemplified by findings such as that of Grieve et al (2019), that have been successful in identifying the author of a text using n-grams. I am set on my endeavour to undertake an evidence-based approach to understand why n-grams are useful. Computer scientists have contributed the majority of the research about the topic, however now there is a need for greater specialist input regarding linguistic theory, which I hope to contribute to. My master's thesis will be a smaller scale study of n-gram tracing and the extent to which it accounts for topic.