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…

Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…

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…

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 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…

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…

It is widely assumed that subliminal word priming is case insensitive and that a short SOA (< 100 ms) is required to observe any effects. Here we attempted to replicate results from an influential study with the inclusion of a longer SOA to re-examine these assumptions. Participants performed a semantic categorisation task on visible word…

The present study aims at providing a descriptive account of the unaccusative verbs in Jordanian Arabic dialect (henceforth, JA) in terms of Transitivity. It also aims at presenting empirical evidence to prove that a split projection analysis is appropriate for unaccusative predicates in JA in light of the Minimalist Approach (Chomsky, 1995,…

The intricate and tricky case of semantic analysis, especially of the enigmatic realm of nouns, the red thread of linguistics and literary exploration. This academic research explores the rich sphere of Russian literature in-depth to determine connections between function and the embodiment of theme through proper names. This research is aiming at…

Various similarity measures for source code have been proposed, many rely on edit- or tree-distance. To support a lecturer in quickly assessing live or online exercises with respect to "approaches taken by the students," we compare source code on a more abstract, semantic level. Even if novice student's solutions follow the same idea,…

Natural Language Processing (NLP) offers methods for understanding and quantifying the similarity between written documents. Within the testing industry these methods have been used for automatic item generation, automated scoring of text and speech, modeling item characteristics, automatic question answering, machine translation, and automated…