Research suggests that second language words are learned faster when they are similar in phonological structure or accent to the words of an individual's first language. Many major theories suggest this happens because of differences in frequency of exposure and context between first and second language words. Here, we examine the independent…

This study aimed to establish normative data for 145 words using phonological and semantic association tasks with 242 French schoolchildren, ranging from ages 5 (Grande Section) to 8 (Cours Elémentaire 2), providing a fundamental resource for future research and educational planning. The participants were engaged in two primary tasks: a free…

The processes tapped by the widely-used word association (WA) paradigm remain a matter of debate: while some authors consider them as driven by lexical co-occurrences, others emphasize the role of meaning-based connections. To test these contrastive hypotheses, we analyzed responses in a WA task in terms of their normative defining features (those…

Human word learning is remarkable: We not only learn thousands of words but also form organized semantic networks in which words are interconnected according to meaningful links, such as those between "apple," "juicy," and "pear." These links play key roles in our abilities to use language. How do words become…

This Special Issue of "Language Learning" presents an interdisciplinary state-of-the-art overview of current approaches to linguistic relativity. It contains empirical and theoretical studies and reflections on linguistic relativity from a variety of perspectives, such as associative learning, conceptual transfer, multilingual awareness,…

This study investigated the roles of associative learning and linguistic knowledge, in particular phonological and semantic knowledge, in word learning of Chinese readers using a cross-sectional design. Extending past research in associative learning using existing Chinese characters as word stimuli, this study resorted to pseudowords and invented…

Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…

We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative…

The article presents the procedure and results of a linguistic experimental study of the cognitive characteristics underlying basic ideas about patriotism in the modern Russian language consciousness as identified by the author from previous studies of the semantic content of the concept of PATRIOTISM in accordance with language data. The purpose…

CHALLENGE is generally perceived as a negative word synonymous with "dispute," "defy," "confrontation," and "contest." However, when resorting to dictionary definitions, CHALLENGE has unexpectedly been found to possess positive senses such as "stimulating" and "arousing competitive…

Several recent studies have explored the applicability of the preferential attachment principle to account for vocabulary growth. According to this principle, network growth can be described by a process in which existing nodes recruit new nodes with a probability that is an increasing function of their connectivity within the existing network.…

The present research demonstrates that very brief variations in affect, being around 1 s in length and changing from trial to trial independently from semantic relatedness of primes and targets, modulate the amount of semantic priming. Implementing consonant and dissonant chords (Experiments 1 and 5), naturalistic sounds (Experiment 2), and visual…

Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words…

This paper examines the semantic associations of words found in the business lexical environment by using a one-million word corpus of both spoken and written Business English. The key method of analysis is that of semantic prosody or semantic association; the notion that words associate with collocates that are themselves related, often either…

Analyzes some common sex biases in everyday language and changes in the meanings of words over a period of time. (RB)