The discussion of sustainability reporting rarely addresses the inherent paradox within this concept--tremendous costs associated with sustainability efforts and lack of direct return on these investments. This study contributes to the discussion on sustainability by studying this paradox from the linguistic standpoint in order to answer a simple…

This paper examines to what extent paper-based data-driven learning (DDL) activities can improve Thai EFL students' vocabulary learning concerning three English synonymous adjectives, which are naughty, disobedient and rebellious, and explores the attitudes of the participants towards learning through the DDL activities. This study was a one-group…

Attitude verbs like "think" and "want" describe mental states (belief and desire) that lack reliable physical correlates that could help children learn their meanings. Nevertheless, children succeed in doing so. For this reason, attitude verbs have been a parade case for syntactic bootstrapping. We assess a recent syntactic…

When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining symbolic boundaries: boundary retention--entrenching themselves in pre-existing…

Internet search engines have empowered citizens in their quest for seeking insights on a multitude of issues. Knowledge curation and evidence review requires systematic and rigorous fact-finding, baseline subject matter expertise, and the right tool to work at scale. Finding and summarizing knowledge has a direct impact on the research and…

Building on previous studies investigating the multidimensional nature of lexical use in task-based L2 performance, this study clarified the roles that the distinct lexical features play in predicting vocabulary proficiency in a corpus of L2 Oral Proficiency Interviews (OPI). A total of 85 OPI samples were rated by three separate raters based on a…

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…

In this paper, we investigate how highly ranked business schools construct their legitimacy claims by analysing their online organisational communication. We argue that in the case of higher education institutions in general, and business schools in particular, the discursive formation of these legitimacy claims is strongly connected to the…

Based on Jef Verschueren's Adaptation Theory, Lakoff's definition and Prince et al.'s classification of hedges, this paper takes New York Times and China Daily from January 23rd to April 8th, 2020 as corpus sources, randomly selects 39 COVID-19 reports, and makes a contrastive study of hedges among them, aiming at exploring the similarities and…

Accurate description of language use is central to English for academic purposes (EAP) practice. Thanks to the development of corpus tools, it has been possible to undertake systematic studies of language in academic contexts. This line of research aims to provide detailed and accurate characterization of academic communication and to ultimately…

This replication study seeks to extend the generalizability of an exploratory study (McDonough et al., 2019) that identified holds (i.e., temporary cessation of dynamic movement by the listener) as a reliable visual cue of non-understanding. Conversations between second language (L2) English speakers in the Corpus of English as a Lingua Franca…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

Linguistic meaning is generated by the mind and can be expressed in multiple languages. One may assume that equivalent texts/utterances in two languages by means of translation generate equivalent meanings in their readers/hearers. This follows if we assume that meaning calculated from the linguistic input is solely objective in nature. However,…

The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…