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The sequencing of adverbial clauses of time in academic English: Random forest modelling

机译:学术英语中状语从句的排序:随机森林模型

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Adverbial clauses of time are positioned either before or after their associated main clauses. This study aims to assess the importance of discourse-pragmatics and processing-related constraints on the positioning of adverbial clauses of time in research articles of applied linguistics written by authors for whom English is considered a native language. Previous research has revealed that the ordering is co-determined by various factors from the domains of semantics and discourse-pragmatics (bridging, iconicity, and subordinator) and language processing (deranking, length, and complexity). This research conducts a multifactorial analysis on the motivators of the positioning of adverbial clauses of time in 100 research articles of applied linguistics. The study will use a random forest of conditional inference trees as the statistical technique to measure the weights of the aforementioned variables. It was found that iconicity and bridging, which are factors associated with discourse and semantics, are the two most salient predictors of clause ordering.
机译:时间状语从句位于其相关的主要从句之前或之后。本研究旨在评估作者认为英语为母语的应用语言学研究文章中,语篇语用学和与处理相关的约束对时间状语从句定位的重要性。先前的研究表明,排序是由语义和话语语用学(桥接,象似性和从属)和语言处理(降级,长度和复杂性)领域中的多种因素共同决定的。这项研究对应用语言学的100篇研究文章中的状语从句的定位动机进行了多因素分析。该研究将使用条件推理树的随机林作为统计技术来测量上述变量的权重。发现与话语和语义相关的象似性和桥接是从句排序的两个最显着的预测因子。

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