Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…

Previous research has found lexical access to be related to both categorization processes, whereby concepts are grouped into different types of categories such as taxonomic, experimental and ad hoc; and to semantic fluency, which is concerned with an individual's ability to produce words related to a specific category. However, studies analyzing…

Antonymy is a kind of lexical opposition formed by a relational pair of words that refer to a relationship from the opposite point of view. This study attempts to explore the problems of antonymy with respect to theoretical and practical lexicography. The data was collected from dictionaries, published works of scientists and lexicographers. The…

This study provides a multidimensional analysis of the structural and semantic peculiarities of phraseological units to identify the general, the similar, and the national-specific, which are different in terms of phraseological figurativeness. Most of the magical images and symbols became the basis of the symbolism of the numerals, which became…

This conceptual paper deals with ways in which gesture or embodied utterances create deictic expressions (i.e., deixis) that are relevant to second language teaching and learning. While many gesture types have been found to be material carriers of meaning (McNeill, 1992; Vygotsky, 1986), deictics have the ability and function to create new…

Previous research suggests that statistical learning enhances memory for self-related information at the individual level and that individuals exhibit better memory for partner-related items than they do for irrelevant items in joint contexts (i.e., the joint memory effect, JME). However, whether statistical learning improves memory for…

This paper seeks to outline and describe the features of Ewe causative verbs and how they encode causative events. It explores the sub-lexical analysis of verbs' meanings since they form the basis of the classification of causal relations that allow us to explore the different imports between (sub-)events and how these events are structured, and…

The incongruity-resolution model plays a key role in the cognitive mechanisms of perceived humour. This study employed the incongruity-resolution model to discuss humorous design techniques to help design novices and students understand the influence of various humorous design techniques on perceived humour. First, 260 humorous products currently…

This two-part dissertation centers on a re-examination of the role of book indexes in information retrieval research on full-text digital book collections in digital libraries. Early research focused on information retrieval and book indexes (in addition to other parts of books) in the 2000s when the Google Books corpus was first released to the…

This paper contributes to the theorization of radical visible pedagogy by building upon Basil Bernstein's initial conceptualization and previous efforts to develop it. Alongside Bernstein's "classification" and "framing" we suggest that incorporating the concepts of "semantic gravity" and "semantic density"…

This study proposes a knowledge graph-based big data analysis model for course quality evaluation, aiming to address issues in online education course evaluations such as semantic bias, grammatical deficiencies, vocabulary limitations, false evaluations, information distortion, and imbalanced evaluation categories. The model incorporates three…

Words have meanings vastly undetermined by the contexts in which they occur. Their acquisition therefore presents formidable problems of induction. Lila Gleitman and colleagues have advocated for one part of a solution: indirect evidence for a word's meaning may come from its syntactic distribution, via syntactic bootstrapping. But while formal…

Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…

CCTV plays a prominent role in public security, health and safety. Monitoring large arrays of CCTV camera feeds is a visually and cognitively demanding task. Arranging the scenes by geographical proximity in the surveilled environment has been recommended to reduce this demand, but empirical tests of this method have failed to find any benefit.…

A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…