Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, accelerating the review process, and enhancing the quality and reliability of extracted data. In this…

This paper provides a novel, conceptually driven stance on the state of the contemporary analytic challenges faced in the treatment of dialogue as a form of data across on- and offline sites of learning. In prior research, preliminary steps have been taken to detect occurrences of such dialogue using automated analysis techniques. Such advances…

The focus of this paper is the "culture of learning" in Chinese complementary schools. The term "culture" refers to the norms, attitudes, values and beliefs of the participants in these schools. Using data collected through multiple research methods from Chinese community schools in Britain, this paper takes a glimpse at cultural negotiation by…

A variety of techniques for collecting and analyzing information about the natural use of natural languages is surveyed, emphasizing the importance of recognizing the properties of a research task that make a given technique more or less suitable to it rather than comparing techniques globally and ranking them absolutely. An initial goal is to…

In linguistic analysis of the speech act, the data used to support theoretical conclusions are too often comprised of semantically isolated utterances of the ideal speaker-hearer. In reality, one of the most revealing kinds of data is imperfect data, where the functioning language processes are often unmasked. The study of first language…