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Cognitive Science Oct 2022Human language affords the ability to attribute semantically distinct concepts to a single nominal, a process now commonly termed 'copredication'. If we describe a lunch...
Human language affords the ability to attribute semantically distinct concepts to a single nominal, a process now commonly termed 'copredication'. If we describe a lunch as being delayed but also filling , senses of distinct semantic categories (event, physical object) are simultaneously being accessed. Copredication is relevant to major debates in cognitive science, since it cuts to the core of how the lexicon is formatted, and how distinct lexico-semantic representations relate to each other. The apparent scope and limits of copredication licensing can be explored via acceptability judgment and processing experiments, exposing certain replicable and generalizable patterns that apply across lexical types, syntactic structures, and different languages (Murphy 2021a, 2021b). As such, laying out the psycholinguistic terrain in which to address this phenomenon is crucial - and accounts that lack a valid psycholinguistic and empirical basis should be highlighted as problematic if they are to be accommodated and refined. Löhr and Michel (2022) claim that copredication acceptability is determined by a "set of expectations that are influenced by higher-order priors associated with discourse context and world knowledge". I will show that their model encounters a number of obstacles, and ends up unintentionally supporting an alternative model in Murphy (2019, 2021a, 2021b, 2021c), which they attempt to critique.
Topics: Humans; Judgment; Language; Psycholinguistics; Semantics
PubMed: 36251414
DOI: 10.1111/cogs.13207 -
Behavior Research Methods Feb 2022This study reports valence and arousal ratings for 11,310 simplified Chinese words, including 9774 two-character words, 949 three-character words, and 587 four-character...
This study reports valence and arousal ratings for 11,310 simplified Chinese words, including 9774 two-character words, 949 three-character words, and 587 four-character words. These affective ratings are validated through comparisons with prior ratings of smaller word samples. All but four words included in this study are from the MEgastudy of Lexical Decision in Simplified CHinese (MELD-SCH) database. As age-of-acquisition ratings and concreteness ratings have recently become available for large portions of words in the MELD-SCH, the affective ratings not only further enrich the database as a valuable research tool, but also allow us to gain insight into a range of psycholinguistic constructs based on normative ratings of a large set of Chinese words. Cross-language comparisons of the valence ratings between Chinese words and English words appear to indicate cultural and sociopolitical influences reflected in affect representations.
Topics: Arousal; China; Emotions; Humans; Language; Psycholinguistics
PubMed: 34100200
DOI: 10.3758/s13428-021-01607-4 -
PloS One 2018Despite the flourishing research on the relationships between affect and language, the characteristics of pain-related words, a specific type of negative words, have...
Despite the flourishing research on the relationships between affect and language, the characteristics of pain-related words, a specific type of negative words, have never been systematically investigated from a psycholinguistic and emotional perspective, despite their psychological relevance. This study offers psycholinguistic, affective, and pain-related norms for words expressing physical and social pain. This may provide a useful tool for the selection of stimulus materials in future studies on negative emotions and/or pain. We explored the relationships between psycholinguistic, affective, and pain-related properties of 512 Italian words (nouns, adjectives, and verbs) conveying physical and social pain by asking 1020 Italian participants to provide ratings of Familiarity, Age of Acquisition, Imageability, Concreteness, Context Availability, Valence, Arousal, Pain-Relatedness, Intensity, and Unpleasantness. We also collected data concerning Length, Written Frequency (Subtlex-IT), N-Size, Orthographic Levenshtein Distance 20, Neighbor Mean Frequency, and Neighbor Maximum Frequency of each word. Interestingly, the words expressing social pain were rated as more negative, arousing, pain-related, and conveying more intense and unpleasant experiences than the words conveying physical pain.
Topics: Adolescent; Adult; Affect; Female; Humans; Male; Pain; Pain Perception; Psycholinguistics; Semantics; Social Perception; Vocabulary; Young Adult
PubMed: 29958269
DOI: 10.1371/journal.pone.0199658 -
Journal of Psycholinguistic Research Oct 2022In recent years large datasets of lexical processing times have been released for several languages, including English, French, Spanish, and Dutch. Such datasets have...
In recent years large datasets of lexical processing times have been released for several languages, including English, French, Spanish, and Dutch. Such datasets have enabled us to study, compare, and model the global effects of many psycholinguistic measures such as word frequency, orthographic neighborhood (ON) size, and word length. We have compiled and publicly released a frequency and ON dictionary of 64,546 words and 1800 plausible NWs from a language that has been relatively little studied by psycholinguists: Persian. We have also collected visual lexical decision reaction times for 1800 Persian words and nonwords. Persian offers an interesting psycholinguistic environment for several reasons, including that it has few long words and has resultantly dense orthographic neighborhoods. These characteristics provide us with an opportunity to contrast how these factors affect lexical access by comparing them to several other languages. The results suggest that sensitivity to word length and orthographic neighbourhood may reflect the statistical structure of a particular language, rather than being a universal element of lexical processing. The dictionary and LDRT data are available from https://osf.io/tb4m6/ .
Topics: Humans; Language; Psycholinguistics; Reaction Time
PubMed: 35366147
DOI: 10.1007/s10936-022-09863-x -
Behavior Research Methods Apr 2023Proper names comprise a class of labels that arbitrarily nominate specific entities, such as people and places. Compared to common nouns, retrieving proper names is more...
Proper names comprise a class of labels that arbitrarily nominate specific entities, such as people and places. Compared to common nouns, retrieving proper names is more challenging. Thus, they constitute good alternative semantic categories for psycholinguistic and neurocognitive research and intervention. The ability to retrieve proper names is known to decrease with aging. Likewise, their retrieval may differ across their different categories (e.g., people and places) given their specific associated knowledge. Therefore, proper names' stimuli require careful selection due to their high dependence on prior experiences. Notably, normative datasets for pictures of proper names are scarce and hardly have considered the influence of aging and categories. The current study established culturally adapted norms for proper names' pictures (N = 80) from an adult sample (N = 107), in psycholinguistic measures (naming and categorization scores) and evaluative dimensions (fame, familiarity, distinctiveness, arousal, and representational quality). These norms were contrasted across different categories (famous people and well-known places) and age groups (younger and older adults). Additionally, the correlations between all variables were examined. Proper names' pictures were named and categorized above chance and overall rated as familiar, famous, distinctive, and of high representational quality. Age effects were observed across all variables, except familiarity. Category effects were occasionally observed. Finally, the correlations between the psycholinguistic measures and all rated dimensions suggest the relevance of controlling for these dimensions when assessing naming abilities. The current norms provide a relevant aging-adapted dataset that is publicly available for research and intervention purposes.
Topics: Humans; Aged; Recognition, Psychology; Language; Aging; Semantics; Psycholinguistics; Names
PubMed: 35622238
DOI: 10.3758/s13428-022-01823-6 -
Behavior Research Methods Dec 2023Neuroscience research has provided evidence that semantic information is stored in a distributed brain network involved in sensorimotor and linguistic processing. More...
Neuroscience research has provided evidence that semantic information is stored in a distributed brain network involved in sensorimotor and linguistic processing. More specifically, according to the embodied cognition accounts, the representation of concepts is deemed as grounded in our bodily states. For these reasons, normative measures of words should provide relevant information about the extent to which each word embeds perceptual and action properties. In the present study, we collected ratings for 959 Italian nouns and verbs from 398 volunteers, recruited via an online platform. The words were mostly taken from the Italian adaptation of the Affective Norms for English Words (ANEW). A pool of 145 verbs was added to the original set. All the words were rated on 11 sensorimotor dimensions: six perceptual modalities (vision, audition, taste, smell, touch, and interoception) and five effectors (hand-arm, foot-leg, torso, mouth, head). The new verbs were also rated on the ANEW dimensions. Results showed good reliability and consistency with previous studies. Relations between perceptual and motor dimensions are described and interpreted, along with relations between the sensorimotor and the affective dimensions. The currently developed dataset represents an important novelty, as it includes different word classes, i.e., both nouns and verbs, and integrates ratings of both sensorimotor and affective dimensions, along with other psycholinguistic parameters; all features only partially accomplished in previous studies.
Topics: Humans; Reproducibility of Results; Language; Semantics; Psycholinguistics; Auditory Perception
PubMed: 36307624
DOI: 10.3758/s13428-022-02004-1 -
Journal of Experimental Psychology.... Dec 2023Typing slows at the middle of the word. The exact nature of the slowdown is still disputed. Research on attentional and motoric effects in typing suggests that the...
Typing slows at the middle of the word. The exact nature of the slowdown is still disputed. Research on attentional and motoric effects in typing suggests that the slowdown is purely a function of chunking of letters in creating the motor output; this approach posits no further influence of linguistic information during output. Research from a psycholinguistic perspective does posit lexical and sublexical effects during output and explains the midword slowing as a function of slowdowns at the boundaries of sublexical units. Across four experiments, using three different typing tasks, we investigated the typing of compound (schoolteacher) and pseudocompound () words. Typing at the midword region is sensitive to the morphological structure of the word and to linguistic properties of the word and its (pseudo)constituents (e.g., linguistic information about and affects , and and affects ). These findings suggest that typing compounds involves a hierarchical plan consisting of two separate motor plans for each constituent executed sequentially such that the output of letters is sensitive to the number of letters within that plan, the position of the sequence in the hierarchy (e.g., first vs. second constituent), and the morphemic structure of the to-be-typed word. Surprisingly, given that pseudocompound lexical representations should not include the pseudoconstituents and given that our tasks in the first three experiments demand full access to the lexical representation before typing, pseudocompound typing is also sensitive to the pseudoconstituent characteristics, suggesting that, during typing, the system attempts to build a compound-like structure. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Topics: Humans; Floors and Floorcoverings; Pattern Recognition, Visual; Psycholinguistics; Linguistics; Memory
PubMed: 38127499
DOI: 10.1037/xlm0001299 -
Behavior Research Methods Jun 2018The syntax and semantics of human language can illuminate many individual psychological differences and important dimensions of social interaction. Accordingly,...
The syntax and semantics of human language can illuminate many individual psychological differences and important dimensions of social interaction. Accordingly, psychological and psycholinguistic research has begun incorporating sophisticated representations of semantic content to better understand the connection between word choice and psychological processes. In this work we introduce ConversAtion level Syntax SImilarity Metric (CASSIM), a novel method for calculating conversation-level syntax similarity. CASSIM estimates the syntax similarity between conversations by automatically generating syntactical representations of the sentences in conversation, estimating the structural differences between them, and calculating an optimized estimate of the conversation-level syntax similarity. After introducing and explaining this method, we report results from two method validation experiments (Study 1) and conduct a series of analyses with CASSIM to investigate syntax accommodation in social media discourse (Study 2). We run the same experiments using two well-known existing syntactic metrics, LSM and Coh-Metrix, and compare their results to CASSIM. Overall, our results indicate that CASSIM is able to reliably measure syntax similarity and to provide robust evidence of syntax accommodation within social media discourse.
Topics: Choice Behavior; Communication; Humans; Interpersonal Relations; Language; Psycholinguistics; Research Design; Semantics; Social Media
PubMed: 28699124
DOI: 10.3758/s13428-017-0926-2 -
Journal of Speech, Language, and... Jul 2018Words, syllables, and phonemes have each been regarded as basic encoding units of speech production in various psycholinguistic models. The present article investigates...
PURPOSE
Words, syllables, and phonemes have each been regarded as basic encoding units of speech production in various psycholinguistic models. The present article investigates the role of each unit in the interface with speech articulation, using a paradigm from motor control research.
METHOD
Seventy-six native speakers of French were trained to change their production of /be/ in response to an auditory feedback perturbation (auditory-motor learning). We then assessed the magnitude of learning transfer from /be/ to the syllables in 2 pseudowords (/bepe/ and /pebe/) and 1 real word (/bebe/) as well as the aftereffect on the same utterance (/be/) with a between-subjects design. This made it possible to contrast the amplitude of transfer at the levels of the utterance, the syllable, and the phoneme, depending on the position in the word. Linear mixed models allowed us to study the amplitude as well as the dynamics of the transfer and the aftereffect over trials.
RESULTS
Transfer from the training utterance /be/ was observed for all vowels of the test utterances but was larger to the syllable /be/ than to the syllable /pe/ at word-initial position and larger to the 1st syllable than to the 2nd syllable in the utterance.
CONCLUSIONS
Our study suggests that words, syllables, and phonemes may all contribute to the definition of speech motor commands. In addition, the observation of a serial order effect raises new questions related to the connection between psycholinguistic models and speech motor control approaches.
Topics: Adult; Female; France; Humans; Language; Male; Phonetics; Psycholinguistics; Speech; Speech Production Measurement; Transfer, Psychology; Verbal Learning
PubMed: 29931285
DOI: 10.1044/2018_JSLHR-S-17-0130 -
NeuroImage Oct 2022The efficiency of spoken word recognition is essential for real-time communication. There is consensus that this efficiency relies on an implicit process of activating...
The efficiency of spoken word recognition is essential for real-time communication. There is consensus that this efficiency relies on an implicit process of activating multiple word candidates that compete for recognition as the acoustic signal unfolds in real-time. However, few methods capture the neural basis of this dynamic competition on a msec-by-msec basis. This is crucial for understanding the neuroscience of language, and for understanding hearing, language and cognitive disorders in people for whom current behavioral methods are not suitable. We applied machine-learning techniques to standard EEG signals to decode which word was heard on each trial and analyzed the patterns of confusion over time. Results mirrored psycholinguistic findings: Early on, the decoder was equally likely to report the target (e.g., baggage) or a similar sounding competitor (badger), but by around 500 msec, competitors were suppressed. Follow up analyses show that this is robust across EEG systems (gel and saline), with fewer channels, and with fewer trials. Results are robust within individuals and show high reliability. This suggests a powerful and simple paradigm that can assess the neural dynamics of speech decoding, with potential applications for understanding lexical development in a variety of clinical disorders.
Topics: Electroencephalography; Humans; Psycholinguistics; Recognition, Psychology; Reproducibility of Results; Speech Perception
PubMed: 35842096
DOI: 10.1016/j.neuroimage.2022.119457