When words do not mean what they say. Self-agency and the coercive use of language

Abstract :  This paper explores the relationship between language and the development of self-agency. I suggest that a child discovers that he or she actually exists as a person with a mind and desires through the mirroring response he or she creates in the parent. This developmental stage of 'teleological' level of self-agency is related to Terrence Deacon's concept of indexical communication. The coercive effect this has on others is explored and the way language may become subverted from its symbolic function and used in the service of indexical communication is discussed, illustrated by examples from the plays of Harold Pinter.     

Berkeley’s Contingent Necessities

The paper provides an account of necessary truths in Berkeley based upon his divine language model. If the thesis of the paper is correct, not all Berkeleian necessary truths can be known a priori.

A comparison of methods to teach foreign-language targets to young children

Using instructional strategies based on derived relational responding (DRR) to teach foreign-language targets may result in emergent, untrained foreign-language relations. One benefit of using DRR instructional strategies is the efficiency with which an individual acquires additional stimulus relations as a result of emergent responding following acquisition of one or a small number of relations. In the current study, we compared the efficiency of tact training alone to a traditional foreign-language teaching strategy (i.e., teaching all relations concurrently—mixed training) with four, 4-year-old children. The results demonstrated that tact training was more efficient than mixed training for 5 of 7 stimulus sets. The findings add to the research demonstrating that DRR instructional strategies, specifically tact training, may be more efficient than concurrently teaching all targeted relations.     

Learning a foreign language: Effects of tact and listener instruction on the emergence of bidirectional intraverbals

We evaluated the effects of tact and listener instruction on the emergence of bidirectional intraverbal relations with 6 typically developing Brazilian children, using an adapted alternating treatment design with pretest and posttest probes. In listener instruction, participants selected pictures that corresponded to spoken foreign-language words. For tact instruction, children had to vocalize foreign words in the presence of the corresponding pictures. After meeting mastery criteria, bidirectional intraverbal tests assessed vocalizations in Portuguese (native language) following the presentation of the equivalent words in English (foreign language) and vice versa. Tact instruction consistently produced higher levels of emergent intraverbal responding compared to listener instruction, confirming results from previous studies.     

Analyzing Machine-Learned Representations: A Natural Language Case Study

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present a diagnostic test dataset to examine the degree of abstract composable structure represented. Analyzing performance on these diagnostic tests indicates a lack of systematicity in representations and decision rules, and reveals a set of heuristic strategies. We then investigate the effect of training distribution on learning these heuristic strategies, and we study changes in these representations with various augmentations to the training set. Our results reveal parallels to the analogous representations in people. We find that these systems can learn abstract rules and generalize them to new contexts under certain circumstances—similar to human zero-shot reasoning. However, we also note some shortcomings in this generalization behavior—similar to human judgment errors like belief bias. Studying these parallels suggests new ways to understand psychological phenomena in humans as well as informs best strategies for building artificial intelligence with human-like language understanding.     

Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages

Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of change. Here, we identify and test two contrasting predictions: The first sees learning as a pre-requisite for structure addition, and predicts a positive correlation between learning accuracy and structure addition, whereas the second maintains that it is those learners who struggle with learning and reproducing their input who add structure to it. This prediction is hard to test in standard iterated learning paradigms since each learner is exposed to a different input, and since structure and accuracy are computed using the same test items. Here, we test these contrasting predictions in two experiments using a one-generation artificial language learning paradigm designed to provide independent measures of learning accuracy and structure addition. Adults (N = 48 in each study) were exposed to a semi-regular language (with probabilistic structure) and had to learn it: Learning was assessed using seen items, whereas structure addition was calculated over unseen items. In both studies, we find a strong positive correlation between individuals' ability to learn the language and their tendency to add structure to it: Better learners also produced more structured languages. These findings suggest a strong link between learning and generalization. We discuss the implications of these findings for iterated language models and theories of language change more generally.     

Tactile Enumeration and Embodied Numerosity Among the Deaf

Representations of the fingers are embodied in our cognition and influence performance in enumeration tasks. Among deaf signers, the fingers also serve as a tool for communication in sign language. Previous studies in normal hearing (NH) participants showed effects of embodiment (i.e., embodied numerosity) on tactile enumeration using the fingers of one hand. In this research, we examined the influence of extensive visuo-manual use on tactile enumeration among the deaf. We carried out four enumeration task experiments, using 1–5 stimuli, on a profoundly deaf group (n = 16) and a matching NH group (n = 15): (a) tactile enumeration using one hand, (b) tactile enumeration using two hands, (c) visual enumeration of finger signs, and (d) visual enumeration of dots. In the tactile tasks, we found salient embodied effects in the deaf group compared to the NH group. In the visual enumeration of finger signs task, we controlled the meanings of the stimuli presentation type (e.g., finger-counting habit, fingerspelled letters, both or neither). Interestingly, when comparing fingerspelled letters to neutrals (i.e., not letters or numerical finger-counting signs), an inhibition pattern was observed among the deaf. The findings uncover the influence of rich visuo-manual experiences and language on embodied representations. In addition, we propose that these influences can partially account for the lag in mathematical competencies in the deaf compared to NH peers. Lastly, we further discuss how our findings support a contemporary model for mental numerical representations and finger-counting habits.     

Order Matters! Influences of Linear Order on Linguistic Category Learning

Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers (premarkers, e.g., gendered articles) or succeeding category markers (postmarkers, e.g., gendered suffixes). Given that numerous systems for marking grammatical categories exist in natural languages, it follows that a better understanding of these findings can shed light on the factors underlying this diversity. In two discriminative learning simulations and an artificial language learning experiment, we identify two factors that modulate linear order effects in linguistic category learning: category structure and the level of abstraction in a category hierarchy. Regarding category structure, we find that postmarking brings an advantage for learning category diagnostic stimulus dimensions, an effect not present when categories are non-confusable. Regarding levels of abstraction, we find that premarking of super-ordinate categories (e.g., noun class) facilitates learning of subordinate categories (e.g., nouns). We present detailed simulations using a plausible candidate mechanism for the observed effects, along with a comprehensive analysis of linear order effects within an expectation-based account of learning. Our findings indicate that linguistic category learning is differentially guided by pre- and postmarking, and that the influence of each is modulated by the specific characteristics of a given category system.     

外语焦虑、紧张情绪与认知负荷对外语说谎的影响：来自中-英双语者的证据

采用错误陈述范式探究中-英双语者用母语和外语说真话和说谎时的认知神经差异, 涉及外语焦虑、认知负荷和说谎诱发的紧张情绪。对P200和CNV观察发现：(1)中-英双语者用英语说真话的P200波幅比用母语大, 说明被试用英语说话时受外语焦虑情绪影响; (2)中-英双语者用英语说谎与说真话的P200波幅无显著差异, 但用母语说谎和讲真话的P200波幅差异显著, 说明被试用外语说谎没有用母语说谎诱发的紧张情绪大; (3)中-英双语者说谎时的CNV波幅比说真话时大, 说明被试说谎比说真话的认知负荷更大; (4)中-英双语者用英语说谎时的CNV波幅比用汉语说谎时大, 说明被试用外语说谎比用母语说谎产生了更大的认知负荷。相关分析表明, 英语熟练程度是影响中-英双语者用母语和外语说谎时的认知神经差异的重要变量。     

Why don't you believe me? Detecting deception in messages written by nonnative and native speakers

Detecting lies is crucial in numerous contexts, including situations in which individuals do not interact in their native language. Previous research suggests that individuals are perceived as less credible when they communicate in a nonnative compared with native language. The current study was the first to test this effect in truthful and fabricated messages written by native and nonnative English speakers. One hundred native English speakers judged the veracity of these messages, and overall, they proved less likely to believe and to correctly classify nonnative speakers' messages; differences in verbal cues between native and nonnative speakers' messages partly explained the differences in the judgments. Given the increased use of nonnative languages in a globalized world, the discrimination against nonnative speakers in veracity judgments is problematic. Further research should more thoroughly investigate the role of verbal cues in written and spoken nonnative language to enable the development of effective interventions.