1,721,066 research outputs found
Sensory language across lexical categories
Being able to talk about what humans perceive with their senses is one of the fundamental capacities of language. But how do languages encode perceptual information? In this paper, we analyze how experiences from different senses (sight, sound, touch, taste, and smell) are encoded differentially across lexical categories (nouns, verbs, adjectives) in the English language. Three independently collected lists of perception-related words show that sound concepts are more prone to being expressed as verbs. Data from an independent rating study furthermore shows that nouns rated to strongly relate to motion are also rated to strongly relate to sound, more so than is the case for color-related nouns. We argue that the association of verbs with sound is due to sound concepts being inherently more dynamic, motion-related and event-based, in contrast to other sensory perceptions which are phenomenologically less strongly associated with motion and change. Overall, our results are the first to show differential encoding of perception-related concepts across different types of lexical categories. Our analyses of lexical patterns provide empirical evidence for the interconnection of semantics and gramma
How do numbers move mentally? The interplay between numerical cognition and multiple dimensions of space
The linguistic dimensions of concrete and abstract concepts: lexical category, morphological structure, countability, and etymology
The distinction between abstract and concrete concepts is fundamental to cognitive linguistics and cognitive science. This distinction is commonly operationalized through concreteness ratings based on the aggregated judgments of many people. What is often overlooked in experimental studies using this operationalization is that ratings are attributed to words, not to concepts directly. In this paper we explore the relationship between the linguistic properties of English words and conceptual abstractness/concreteness. Based on hypotheses stated in the existing linguistic literature we select a set of variables (part of speech, morphological structure, countability, etymology) and verify whether they are statistically associated with concreteness ratings. We show that English nouns are rated as more concrete compared to other parts of speech, but mass nouns are rated as less concrete than count nouns. Furthermore, a more complex morphological structure is associated with abstractness, and as for etymology, French- and Latin-derived words are more abstract than words of other origin. This shows that linguistic properties of words are indeed associated with the degree of concreteness that we attribute to the underlying concepts, and we discuss the implications that these findings have for linguistic theory and for empirical investigations in the cognitive sciences
Semantic distance predicts metaphoricity and creativity judgments in synesthetic metaphors
This paper discusses a way of operationalizing metaphoricity quantitatively using a numerical measure of the semantic distance between two domains. We demonstrate the construct validity of this measure with respect to metaphoricity and creativity judgments in the domain of English synesthetic metaphors – expressions such as sweet melody and loud color that involve combinations of terms from conceptually distinct sensory modalities. In a pre-registered study, we find that a continuous measure of sensory modality difference predicts metaphoricity and creativity judgments. While our results use synesthetic metaphors as a test case, it is possible to extend the application of our measure of semantic distance to other metaphorical expressions. In addition to demonstrating the utility of this measure, this work also demonstrates the utility of rating data in the domain of metaphor research
Do Hand Gestures interact with Random Number Generation?¶
Several studies show that spatial cognition interacts with numerical cognition in various ways. For instance,
numbers interact with space through manual movements, where smaller numerical magnitudes are associated
with precision vs. power grips. One of the tasks used to probe mental number space associations is random
number generation (RNG). Studies show that participants generate larger numbers when moving their heads
to the right or upwards. Furthermore, recent observational studies demonstrate that people frequently use
gestures when talking about numerical quantities.
In a pre-registered study, we explored whether performing natural manual gestures could modulate RNG:
greater quantities may be more likely to be generated during outward-moving gestures and lesser quantities during inwards gestures. Further, we aimed to explore whether this association is modulated by both
mathematical expertise, assessed by collecting numeracy data through the Subjective Numeracy Scale (SNS),
and propensity to gesture, as assessed by the Brief Assessment of Gesture scale (BAGS). Preliminary results
(N = 60) support our hypothesis, showing that higher random numbers are more frequently produced with
outward movements, while lower random numbers are more frequently produced with inward movements.
However, so far, no significant correlations have been found between individual differences, as measured by
numeracy (SNS) and gestures (BAG) scales, and the magnitude difference between conditions. To gain a clear
understanding of the role of expertise in this effect, we aim to strengthen the individual differences, involving
participants with different mathematical backgrounds and varying cross-cultural propensities to gesture (e.g.,
Italian vs. English individuals)
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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