An Introductory Academic Review of How Linguistics Relates to the Evolution of Writing

Linguists and authorship researchers have devoted a large amount of effort to the quest for new methodologies and the investigation of how linguistic features in texts relate to writing quality and the development of first language (L1) and second language (L2) writing. The study was first performed on very tiny text samples using hand-coded characteristics. In spite of the fact that these studies were able to give crucial insight into the ways in which linguistic components of the text interacted with quality and development, they were not only impractical but also difficult to scale and prone to mistakes. Nonetheless, the information that they provided was of the utmost significance. Recent advancements in natural language processing (NLP) have produced tools that are better able to calculate linguistic characteristics in massive writing corpora. This offered new understanding into a variety of cognitive processes, such as human evaluations of text quality and the development of writing through time. These innovations have fueled research not only into a better understanding of the linguistic elements of text that help predict writing quality and improvement, but also into automated article scoring (AES) systems that provide authors with summative feedback on the overall quality of their writing. These systems provide authors with summative feedback on the quality of their writing as a whole. These advancements have also prompted research on automated writing assessment (AWE) systems, which give writers with formative input to aid in the revision process. As a result of the success of automated article scoring (ASE) and automated article scoring, a number of commercial applications have been created to capitalize on this success (AES). These applications enable instructors and administrators better manage classroom resources while also providing real-time feedback to student writers. This article will discuss how studies of linguistic characteristics in first and second language writing samples give clearer predictions about both the quality of the text and the growth of the author. In particular, the purpose of this research is to offer an overview of how language characteristics found in text may be utilized to predict changes in writing ability as well as human judgments of writing competence in cross-sectional and longitudinal studies. This project's goal is to give a better understanding of how linguistic features in texts generated by writers may indicate the quality and progression of their work by focusing on how these elements can be found in texts. As a result, the focus will be placed on the linguistic characteristics of the text rather than on the accuracy of predictions made on the basis of these characteristics, in the strict sense of the word; however, a discussion of variation that can be attributed to language traits will be included later on.