scholarly journals Speaking of shape: The effects of language-specific encoding on semantic representations

2012 ◽  
Vol 4 (3) ◽  
pp. 223-242 ◽  
Author(s):  
Pamela Perniss ◽  
David Vinson ◽  
Frank Seifart ◽  
Gabriella Vigliocco
Keyword(s):  
Cognitive Science ◽  
Classification System ◽  
Semantic Representation ◽  
Shape Features ◽  
Semantic Representations ◽  
Classifier System ◽  
Linguistic Patterns ◽  
Central Interest ◽  
Nominal Classification ◽  
Discourse Frequency

AbstractThe question of whether different linguistic patterns differentially influence semantic and conceptual representations is of central interest in cognitive science. In this paper, we investigate whether the regular encoding of shape within a nominal classification system leads to an increased salience of shape in speakers' semantic representations by comparing English, (Amazonian) Spanish, and Bora, a shape-based classifier language spoken in the Amazonian regions of Columbia and Peru. Crucially, in displaying obligatory use, pervasiveness in grammar, high discourse frequency, and phonological variability of forms corresponding to particular shape features, the Bora classifier system differs in important ways from those in previous studies investigating effects of nominal classification, thereby allowing better control of factors that may have influenced previous findings. In addition, the inclusion of Spanish monolinguals living in the Bora village allowed control for the possibility that differences found between English and Bora speakers may be attributed to their very different living environments. We found that shape is more salient in the semantic representation of objects for speakers of Bora, which systematically encodes shape, than for speakers of English and Spanish, which do not. Our results are consistent with assumptions that semantic representations are shaped and modulated by our specific linguistic experiences.

scholarly journals The gender system of Longuda

2021 ◽  
Vol 74 (2) ◽  
pp. 327-346
Author(s):  
Julius-Maximilian Elstermann ◽  
Ines Fiedler ◽  
Tom Güldemann
Keyword(s):  
Historical Reconstruction ◽  
Classifier System ◽  
Class System ◽  
Nominal Form ◽  
Noun Class ◽  
Nominal Classification ◽  
Gender System

Abstract This article describes the gender system of Longuda. Longuda class marking is alliterative and does not distinguish between nominal form and agreement marking. While it thus appears to be a prototypical example of a traditional Niger-Congo “noun-class” system, this identity of gender encoding makes it look morpho-syntactic rather than lexical. This points to a formerly independent status of the exponents of nominal classification, which is similar to a classifier system and thus less canonical. Both types of class marking hosts involve two formally and functionally differing allomorphs, which inform the historical reconstruction of Longuda noun classification in various ways.

scholarly journals Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories

2021 ◽  
Author(s):  
Mo Shahdloo ◽  
Emin Çelik ◽  
Burcu A Urgen ◽  
Jack L. Gallant ◽  
Tolga Çukur
Keyword(s):  
Visual Search ◽  
Social Interactions ◽  
Brain Activity ◽  
Semantic Representation ◽  
Natural Scenes ◽  
Action Perception ◽  
Semantic Representations ◽  
Object Categories ◽  
Search For Objects ◽  
The Brain

Object and action perception in cluttered dynamic natural scenes relies on efficient allocation of limited brain resources to prioritize the attended targets over distractors. It has been suggested that during visual search for objects, distributed semantic representation of hundreds of object categories is warped to expand the representation of targets. Yet, little is known about whether and where in the brain visual search for action categories modulates semantic representations. To address this fundamental question, we studied human brain activity recorded via functional magnetic resonance imaging while subjects viewed natural movies and searched for either communication or locomotion actions. We find that attention directed to action categories elicits tuning shifts that warp semantic representations broadly across neocortex, and that these shifts interact with intrinsic selectivity of cortical voxels for target actions. These results suggest that attention serves to facilitate task performance during social interactions by dynamically shifting semantic selectivity towards target actions, and that tuning shifts are a general feature of conceptual representations in the brain.

Semantic Representation and Naming in Young Children

2002 ◽  
Vol 45 (2) ◽  
pp. 332-346 ◽  
Author(s):  
Karla K. McGregor ◽  
Rena M. Friedman ◽  
Renée M. Reilly ◽  
Robyn M. Newman
Keyword(s):  
Picture Naming ◽  
Semantic Representation ◽  
A Priori ◽  
Visual Complexity ◽  
Semantic Knowledge ◽  
Object Representations ◽  
Semantic Representations ◽  
Dynamic Nature ◽  
Retrieval Failure ◽  
Age Appropriate

Children's semantic representations and semantic naming errors were the focus of this study. In Experiment 1, 25 normally developing children (mean age=5 years 4 months) named, drew, and defined 20 age-appropriate objects. The results suggested that functional and physical properties are core aspects of object representations in the semantic lexicon and that these representations are often organized and accessed according to a taxonomic hierarchy. Results of a new procedure, comparative picture naming/picture drawing, suggested that the degree of knowledge in the semantic lexicon makes words more or less vulner-able to retrieval failure. Most semantic naming errors were associated with limited semantic knowledge, manifested as either lexical gaps or fragile representations. Comparison of definitions for correctly named and semantically misnamed objects provided converging evidence for this conclusion. In Experiment 2, involving 16 normally developing children (mean age=5 years 5 months), the comparative picture naming/picture drawing results were replicated with a stimulus set that allowed a priori matching of the visual complexity of items drawn from correct and semantic error pools. Discussion focuses on the dynamic nature of semantic representations and the relation between semantic representation and naming during a period of slow mapping. The value of comparative picture naming/ picture drawing as a new method for exploring children's semantic representa-tions is emphasized.

Evolution of an Optimal Lexicon under Constraints from Embodiment

2003 ◽  
Vol 9 (4) ◽  
pp. 387-402 ◽  
Author(s):  
Willem Zuidema ◽  
Gert Westermann
Keyword(s):  
Cognitive Science ◽  
Language Processing ◽  
Language Evolution ◽  
Language Game ◽  
Self Organization ◽  
Language Games ◽  
Linguistic Patterns ◽  
Language And Cognition ◽  
Linguistic Structures

Research in language evolution is concerned with the question of how complex linguistic structures can emerge from the interactions between many communicating individuals. Thus it complements psycholinguistics, which investigates the processes involved in individual adult language processing, and child language development studies, which investigate how children learn a given (fixed) language. We focus on the framework of language games and argue that they offer a fresh and formal perspective on many current debates in cognitive science, including those on the synchronic-versus-diachronic perspective on language, the embodiment and situatedness of language and cognition, and the self-organization of linguistic patterns. We present a measure for the quality of a lexicon in a population, and derive four characteristics of the optimal lexicon: specificity, coherence, distinctiveness, and regularity. We present a model of lexical dynamics that shows the spontaneous emergence of these characteristics in a distributed population of individuals that incorporate embodiment constraints. Finally, we discuss how research in cognitive science could contribute to improving existing language game models.

scholarly journals syntax-semantics interface for tense and aspect in French

2002 ◽  
Author(s):  
Olivier Bonami
Keyword(s):  
Semantic Representation ◽  
Wide Scope ◽  
Semantic Representations ◽  
Syntactic Structures ◽  
Tense And Aspect

This paper proposes an HPSG account of the French tense and aspect system, focussing on the analysis of the passé simple (simple past) and imparfait (imperfective) tenses and their interaction with aspectually sensitive adjuncts. Starting from de Swart's (1998) analysis of the semantics of tense and aspect, I show that while the proposed semantic representations are appropriate,  the analysis of implicit aspectual operators as coercion operators is inadequate. The proposed HPSG analysis relies on Minimal Recursion Semantics to relate standard syntactic structures with de Swart-style semantic representations. The analysis has two crucial features: first, it assumes that the semantic contribution of tense  originates in the verb's semantic representation, despite the fact that tense can get wide scope over other semantic elements. Second, it allows the occurrence of implicit aspectual operators to be controlled by the verb's inflectional class, which accounts for their peculiar distribution.

scholarly journals A Complete Automatic Target Recognition System of Low Altitude, Small RCS and Slow Speed (LSS) Targets Based on Multi-Dimensional Feature Fusion

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5048 ◽  
Author(s):  
Qi Wu ◽  
Jie Chen ◽  
Yue Lu ◽  
Yue Zhang
Keyword(s):  
Classification System ◽  
Feature Fusion ◽  
Target Recognition ◽  
Automatic Target Recognition ◽  
Three Dimensions ◽  
Support Vector ◽  
Slow Speed ◽  
Classifier System ◽  
L Band ◽  
Low Altitude

Low altitude, small radar cross-section (RCS), and slow speed (LSS) targets, for example small unmanned aerial vehicles (UAVs), have become increasingly significant. In this paper, we propose a new automatic target recognition (ATR) system and a complete ATR chain based on multi-dimensional features and multi-layer classifier system using L-band holographic staring radar. We consider all steps of the processing required to make a classification decision out of the raw radar data, mainly including preprocessing for the raw measured Doppler data including regularization and main frequency alignment, selection, and extraction of effective features in three dimensions of RCS, micro-Doppler, and motion, and multi-layer classifier system design. We design creatively a multi-layer classifier system based on directed acyclic graph. Helicopters, small fixed-wing, and rotary-wing UAVs, as well as birds are considered for classification, and the measured data collected by L-band radar demonstrates the effectiveness of the proposed complete ATR classification system. The results show that the ATR classification system based on multi-dimensional features and k-nearest neighbors (KNN) classifier is the best, compared with support vector machine (SVM) and back propagation (BP) neural networks, providing the capability of correct classification with a probability of around 97.62%.

Functions of gender and numeral classifiers in Nepali

2020 ◽  
Vol 56 (1) ◽  
pp. 113-168 ◽  
Author(s):  
Marc Allassonnière-Tang ◽  
Marcin Kilarski
Keyword(s):  
Classification System ◽  
Language Contact ◽  
Grammatical Gender ◽  
Numeral Classifiers ◽  
Complementary Distribution ◽  
Language Structure ◽  
Nominal Classification ◽  
Discourse Functions

AbstractWe examine the complex nominal classification system in Nepali (Indo-European, Indic), a language spoken at the intersection of the Indo-European and Sino-Tibetan language families, which are usually associated with prototypical examples of grammatical gender and numeral classifiers, respectively. In a typologically rare pattern, Nepali possesses two gender systems based on the human/non-human and masculine/feminine oppositions, in addition to which it has also developed an inventory of at least ten numeral classifiers as a result of contact with neighbouring Sino-Tibetan languages. Based on an analysis of the lexical and discourse functions of the three systems, we show that their functional contribution involves a largely complementary distribution of workload with respect to individual functions as well as the type of categorized nouns and referents. The study thus contributes to the ongoing discussions concerning the typology and functions of nominal classification as well as the effects of long-term language contact on language structure.

Being up front: narrative context and aspectual choice

2014 ◽  
Vol 7 (2) ◽  
pp. 239-264 ◽  
Author(s):  
JOSHUA C. FEDDER ◽  
LAURA WAGNER
Keyword(s):  
Semantic Representation ◽  
Situation Model ◽  
Location Information ◽  
World Knowledge ◽  
Semantic Representations ◽  
Discourse Function ◽  
Four Dimensions ◽  
Grammatical Aspect ◽  
Reading Text ◽  
Representational Models

abstractReaders actively construct representational models of meaning when reading text, and they do so by drawing on a range of kinds of information, from the specific linguistic forms of the sentences to knowledge about how the world works (Ferretti, Kutas, & McRae, 2007; Madden & Zwaan, 2003). The present set of studies focused on how grammatical aspect is integrated into a situation model and how it is connected to other dimensions of model construction. In three experiments, participants were asked to complete sentences with a choice of grammatical aspect form (perfective or imperfective). The test sentences systematically varied four dimensions of the sentence that were linked to grammatical aspect in different ways: telicity and transitivity (both linked through their semantic representations), subject animacy (linked through an inference over semantic representations), and related location information (linked through an inference grounded in world knowledge). In addition, to examine the influence of discourse function (backgrounding vs. foregrounding) on aspectual choice different construction types were varied across experiments – specifically a fronted locative construction and the presence of a generic narrative opener (Once upon a time). The results found that aspectual choice depends on information linked to the semantic representation of grammatical aspect; however, in contrast to previous work (e.g., Ferreti et al., 2007) information grounded in world knowledge (location information) did not influence aspectual choice except when it was integrated in a specialized discourse construction.

Spazi di parole: metafore e rappresentazioni semantiche

PARADIGMI ◽  
2009 ◽  
pp. 83-100
Author(s):  
Alessandro Lenci
Keyword(s):  
Cognitive Science ◽  
Semantic Similarity ◽  
Computational Linguistics ◽  
Computational Models ◽  
Dimensional Space ◽  
High Dimensional ◽  
Semantic Representations ◽  
Topological Relations ◽  
Cognitive Sciences ◽  
Context Sensitive

- The aim of this paper is to analyse the analogy of the lexicon with a space defined by words, which is common to a number of computational models of meaning in cognitive science. This can be regarded as a case of constitutive scientific metaphor in the sense of Boyd (1979) and is grounded in the so-called Distributional Hypothesis, stating that the semantic similarity between two words is a function of the similarity of the linguistic contexts in which they typically co-occur. The meaning of words is represented in terms of their topological relations in a high-dimensional space, defined by their combinatorial behaviour in texts. A key consequence of adopting the metaphor of word spaces is that semantic representations are modelled as highly context-sensitive entities. Moreover, word space models promise to open interesting perspectives for the study of metaphorical uses in language, as well as of lexical dynamics in general. Keywords: Cognitive sciences, Computational linguistics, Distributional models of the lexicon, Metaphor, Semantics, Word spaces.

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