Papers reviewed and determined not to be word norm studies. Use the flag icon to report errors or suggest re-inclusion.
18265 papers
Corpus-driven valency (subcategorization) lexicon automatically extracted from the Ancient Greek Treebank.
In this paper, we present our systems submitted to SemEval-2021 Task 1 on lexical complexity prediction (Shardlow et al., 2021a). The aim of this shared task was to create systems able to predict the lexical complexity of word tokens and bigram multiword expressions within a given sentence context, a continuous value indicating the difficulty in understanding a respective utterance. Our approach relies on gradient boosted regression tree ensembles fitted using a heterogeneous feature set combining linguistic features, static and contextualized word embeddings, psycholinguistic norm lexica, WordNet, word-and character bigram frequencies and inclusion in word lists to create a model able to assign a word or multiword expression a context-dependent complexity score. We can show that especially contextualised string embeddings
When meeting someone at zero acquaintance, we make assumptions about each other that encompass emotional states, personality traits, and even cognitive abilities. Evidence suggests individuals can accurately detect psychopathic personality traits in strangers based on short video clips or photographs of faces. We present an in-depth examination of this ability. In two studies, we investigated whether high psychopathy traits are perceivable and whether other traits affect ratings of psychopathic traits in the sense of a halo effect. On the perceiver’s end, we additionally examined how cognitive abilities and personality traits of the responders affect these ratings. In two studies (n1 = 170 community adults from the USA, n2 = 126 students from Australia), participants rated several targets on several characteristics of psychopathy, as well as on attractiveness, masculinity, sympathy, trustworthiness, neuroticism, intelligence, and extraversion. Results show that responders were generally able to detect psychopathy. Responders generally came to a consensus in their ratings, and using profile similarity metrics, we found a weak relation between ratings of psychopathy and the targets’ psychopathy level as determined by the Psychopathy Checklist: Short Version. Trait ratings, though, were influenced by the ratings of other traits like attractiveness. Finally, we found accuracy in the perception of psychopathy was positively related to fluid intelligence but unrelated to emotion perception ability.
DeutschDas Nomen bezeichnet die zahlreichste und am haufigsten gebrauchte Wortklasse im Deutschen und ist dementsprechend umfassend erforscht worden. Allerdings ziehen die relevanten Untersuchungen nur selten grosere Mengen realsprachlichen Materials in Betracht, was es ihnen ermoglichen wurde, Regelmasigkeiten und Muster des realen Sprachgebrauchs mit quantitativen Methoden zu erschliesen. Auf der Grundlage der begrifflichen Werkzeuge der Dependenzgrammatik und mit Ruckgriff auf die Hamburger Dependenzbaumbank ruckt dieser Artikel die syntaktischen Beziehungen in einem grosen realsprachlichen Korpus in den Fokus, um so die syntaktischen Merkmale der Nomen zu bestimmen und dabei bisherige Forschungsbefunde empirisch zu bestatigen und zu erganzen. EnglishAs the most numerous and frequently used word class in German, the noun has been studied extensively. However, relevant discussions rarely take into account a large amount of real language material, which with the help of the quantitative method can help to find out the regularities of real language use. Using the conceptual tools of dependency grammar and the language corpus provided by the Hamburg dependency treebank, the present article especially considers the syntactic relations involving nouns in a large amount of real language material to determine the syntactic characteristics of nouns, and at the same time, to prove and supplement existing conclusions.
We present TRUNAJOD, a text complexity analysis tool that includes a wide variety of linguistics measurements that can be extracted from texts as an approximation for readability, coherence, and cohesion. The features that TRUNAJOD can extract from the text are based on the literature and can be separated into the following categories: discourse markers, emotions, entity gridbased measurements, givenness, lexical-semantic norms, semantic measures, surface proxies, etc. In this first version of TRUNAJOD, we mainly support the Spanish language, but several features support any language that has proper natural language processing POS tagging and dependency parsing capabilities. Finally, we show how TRUNAJOD could be used in applied research.
The aim of this article is to discuss the lemmatisation process of Old English adverbs inflected for the superlative from a corpus-based perspective. This study has been conducted on the basis of a semi-automatic methodology through which the inflectional forms have been automatically extracted from The York-Toronto-Helsinki Parsed Corpus of Old English Prose and The York Toronto- Helsinki Parsed Corpus of Old English Poetry whereas the task of assigning a lemma has been completed manually. The list of adverbial lemmas amounts to 1,755 and has been provided by the lexical database of Old English Nerthus. Additionally, the resulting lemmatised list has been checked against the lemmatised forms compiled by the Dictionary of Old English and Seelig’s (1930) work on Old English comparative and superlative adjectives and adverbs. Through this comparison it has been possible to verify doubtful forms and incorporate new ones that are unattested by the YCOE. This pilot study has implemented for the first time a methodology for the lemmatisation of a non-verbal class and can be further applied to those categories that are still unlemmatised, namely nouns and adjectives.
Numerous studies show that bodily states shape affect and cognition. Here, we investigated whether incidental physiological arousal impacted perceived familiarity for novel images depicting real-world scenes. Participants provided familiarity ratings for a series of high- and low-arousal emotional images, once after a cycling session (to increase heart rate) and once after a relaxation session (to reduce heart rate). We observed a novel match-effect between internal (physiological) and external (stimulus) arousal sources, where participants rated highly arousing images as more familiar when bodily arousal was also high. Interestingly, the match-effect was greater in participants that scored low on self-report measures of interoception, suggesting that these individuals are less able to correctly perceive bodily changes, and thus are more likely to confuse their physiological arousal with an external source. Overall, our findings underscore the importance of interactions between the mind, body, and stimulus, especially when it comes to subjective judgments of familiarity. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
This paper will study, with the tools of rhetoric (Bonhomme, 2014) and narratology (Genette, 1982; Ensslin, 2015), a specific case of video game reappropriation by players: the Twitch Plays Pokémon phenomenon. Launched in 2014, this experiment consisted in making Internet users play the game Pokémon Red on the video streaming platform Twitch, using the chat as a controller. Not only Twitch Plays Pokémon is a transposition of Pokémon Red in a new media space, which redefines the original game’s meaning and functioning (including by sabotaging its gameplay, since the very control of the avatar becomes tedious), but the new device built in this way became itself raw material for many other appropriations (fanarts, fanfictions, memes and even a pseudo-mythology; Pruijt, 2014; Ramirez et al., 2014), which quickly structured themselves into a very singular media mix (or “ludo mix”) ecosystem (Steinberg, 2012). Twitch Plays Pokémon thus illustrates a double movement that is characteristic of video games reappropriations (Bonenfant, 2015): by reversing or reconfiguring game conventions, players’ creations deconstruct these conventions as much as they establish them as norms. The derivative works thus generate a shared language, i.e. they make reappropriation mechanisms gradually enter the gaming “vocabulary”. Twitch Plays Pokémon is no exception to this “lexicalization” process: despite its apparent unplayability, it became the basis of a viable game, a fictional universe and even a new video game genre. Through the analysis of several “figures of appropriation” and their evolution throughout the game, the paper will expose this formalization process.
Emotional adjectives can be grouped into two main categories: denoting and connoting stable (personality) traits and denoting and connoting transient (mood) states. They relate closely to the concept of affectivity, which is a pervasive tendency to experience moods of positive or negative valence. They constitute a rich study material for personality and affect psychology and neuroscience. Thus, this study was designed to establish a normed list of emotional adjectives with ratings encompassing four dimensions: emotional valence (positive or negative), emotional arousal (low-arousing or high-arousing), category (state, trait, and hybrid), and social judgment (competence, morality, and mixed). The adjectives were preselected based on previous broad Polish norming studies, personality and mood questionnaires, and a dictionary study. The results of the study were drawn from 195 participants who rated 400 adjectives that were chosen based on similar linguistic variables, such as frequency and word length. The dataset measures were proven to be stable and reliable. Correlations between the emotional valence and state-trait, valence and competence-morality, and emotional arousal and competence-morality dimensions were found. The study was successful in preparing a dataset of well-categorized (state, trait, and hybrid) positive and negative adjectives of moderate to high arousal ratings. Since the words were matched on linguistic variables, the set provided useful material that can be readily used for research into the effects of the category and emotional dimensions on language processing and as a basis for new personality questionnaires and mood checklists. The dataset could also be seen as a supplement for broader sets of published normed materials in Polish that link emotion and language.
Over the past years, interest in discourse analysis and discourse parsing has steadily grown, and many discourse-annotated corpora and, as a result, discourse parsers have been built. In this paper, we present a discourse-annotated corpus for the Persian language built in the framework of Rhetorical Structure Theory as well as a discourse parser built upon the DPLP parser, an open-source discourse parser. Our corpus consists of 150 journalistic texts, each text having an average of around 400 words. Corpus texts were annotated using 18 discourse relations and based on the annotation guideline of the English RST Discourse Treebank corpus. Our text-level discourse parser is trained using gold segmentation and is built upon the DPLP discourse parser, which uses a large-margin transition-based approach to solve the problem of discourse parsing. The performance of our discourse parser in span (S), nuclearity (N) and relation (R) detection is around 78%, 64%, 44% respectively, in terms of F1 measure.
The present aim was to investigate if angry, neutral, and happy facial expressions have different effects on haptic responses. Two experiments were conducted. In Experiment 1, participants (N = 24) were to respond as fast as they could to images of angry, neutral, and happy faces using a haptic device that measured the amount of applied force in newton units and the duration of touch in milliseconds. Experiment 2 was identical to Experiment 1, except that ratings of emotion-related experiences evoked by the stimuli were also collected in terms of valence and arousal. The results from both studies showed that the force of touch in response to angry expressions was significantly stronger than in response to happy expressions. The ratings of valence showed that angry, neutral, and happy faces were experienced statistically significantly different from each other along the dimension of valence. Ratings of arousal showed that angry faces were experienced as significantly more arousing than neutral and happy faces. The results suggest a relationship between the processing of emotion-related facial expressions and haptic response systems. The force of touch could be used as one of the measures conveying information about the user’s state of mind when interacting with haptic user interfaces.
Abstract Faces convey a lot of information about a person. However, the usage of face masks occludes important parts of the face. There is already information that face masks alter the processing of variable characteristics such as emotional expressions and the identity of a person. To investigate whether masks influenced the processing of facial information, we compared ratings of full faces and those covered by face masks. 196 participants completed one of two parallel versions of the experiment. The data demonstrated varying effects of face masks on various characteristics. First, we showed that the perceived intensity of emotional expressions was reduced when the face was covered by face masks. This can be regarded as conceptual replication and extension of the impairing effects of face masks on the recognition of emotional expressions. Next, by analyzing valence and arousal ratings, the data illustrated that emotional expressions were regressed toward neutrality for masked faces relative to no-masked faces. This effect was grossly pronounced for happy facial expressions, less for neutral expressions, and absent for sad expressions. The sex of masked faces was also less accurately identified. Finally, masked faces looked older and less attractive. Post hoc correlational analyses revealed correlation coefficient differences between no-masked and masked faces. The differences occurred in some characteristic pairs (e.g., Age and Attractiveness, Age and Trustworthiness) but not in others. This suggested that the ratings for some characteristics could be influenced by the presence of face masks. Similarly, the ratings of some characteristics could also be influenced by other characteristics, irrespective of face masks. We speculate that the amount of information available on a face could drive our perception of others during social communication. Future directions for research were discussed.
Das Kobalt-DaF-Korpus ist ein systematisch erhobenes und tief annotiertes Deutschlernerkorpus, welches 80 deutschsprachige argumentative Texte von deutschen L1-Sprecher:innen und Deutschlerner:innen unterschiedlicher L1 enthält. Dieses Repositorium stellt eine zusätzliche Annotation des Kobalt-DaF-Korpus bzgl. rhetorischer Strukturen frei zur Verfügung. Folgende Informationen sind hier zu finden: (1) Die Darstellung des Annotationsprozesses (Annotationsframework, -richtlinie, und -verfahren). (2) Die annotierten rs3-Dateien. *Versionshinweise: Bislang sind ausschließlich die Texte der chinesischen Deutschlerner:innen und der deutschen L1-Sprecher:innen (insgesamt 40 Texte) verfügbar. Die Annotation der übrigen Texte folgt demnächst. *Die Annotationsarbeit wurde gefördert durch das Chinese Scholarship Council und die Deutsche Forschungsgemeinschaft (DFG) – SFB 1412, 416591334.
Synthesizing photo products such as photo strips and slideshows using a database of images is a time-consuming and tedious process that requires significant manual work. To overcome this limitation, we developed a method that automatically synthesizes photo sequences based on several design parameters. Our method considers the valence and arousal ratings of images in conjunction with parameters related to both the visual consistency of the synthesized photo sequence and the progression of valence and arousal throughout the photo sequence. Our method encodes valence, arousal, and visual consistency parameters as cost terms into a total cost function while applying a Markov chain Monte Carlo optimization techniques called simulated annealing to synthesize the photo sequence based on user-defined target objectives in a few seconds. As our method was developed for the synthesis of photo sequences using the valence-arousal emotional model, a user study was conducted to evaluate the efficacy of the synthesized photo sequences in triggering valence-arousal ratings as expected. Our results indicate that the proposed method synthesizes photo sequences in which valence and arousal dimensions are perceived as expected by participants; however, valence may be more appropriately perceived than arousal.
The work is focused on specific underived nouns that are functioning in the Smolensk patois and in the Belarusian language at the present stage of the existence of these language systems and are quite close, but not identical formations in semantic and structural terms. The subject of the study is the volume of lexical meaning and potential derivational connections of nouns recorded in two synchronous language formations. The relevance of the study is determined by the complex history of the Russian and Belarusian borderland, which is reflected both in the Smolensk patois and in the Belarusian language, which had been created on the dialect basis. The vocabulary of the Russian and Belarusian borderland belongs to a single cultural and historical continuum de-termined by the history of the region, it reflects the diverse material and spiritual ties of the two language idioms’ speakers. The complexity of the historical relations between the two language systems, one of which is codified and has the status of an official language (Belarusian language), and the second exists only in an oral form and has a norm due to internal language laws of devel-opment (Smolensk patois), has led to the fact that when studying two language formations at the present stage, it is possible to speak not only about unambiguous types of relations between words, but also about peripheral types, about zones of various transitions, changes in lexical and grammatical semantics, which can potentially be points of development of two idioms in the future and are therefore valuable for study.
The article deals with the question of why, in the existence of such Russian street names as Teatral'nyj proezd (‘Theater Lane’) and proezd Khudozhestvennogo Teatra (‘Lane of the Art Theater’) as well as Bibliotechnaya ulica (‘Library street’) or Bannyj pereulok (‘Bath-House Lane’), such names as ulica Biblioteki (‘Street of a Library’) or pereulok Ban' (‘Lane of Bath-Houses’) are impossible. With reference to the material of the history of Moscow street names, it is shown that the toponymic model “words like street, lane, etc. + noun in the genitive case” appeared after 1917 This was due, firstly, to the transition from the natural method of forming street names to the administrative method, and, secondly, with the addition of the leading, nominative function of toponyms with memorial and propaganda functions. In cases where street names are created not spontaneously, in the process of verbal communication, but by decisions of the administration, and not only for the purpose of nomination, but also for perpetuating memorable events and outstanding people, the model using the genitive case is more convenient, since it has greater universality. An important limitation that the grammatical system of the Russian language imposes on the lexical content of the model under consideration is due to the fact that the position of words in the genitive case, which are attached to nouns, is intended to actualize the meanings of the words being defined. This means that nouns in the genitive case, acting as unconcorded attributes for words like street, should bind the content of these words to the knowledge of the addressees, and therefore express meanings that are understandable to them. For this reason, with the existence or potential possibility of such toponyms as proezd Khudozhestvennogo Teatra (‘Lane of the Art Theater’) or pereulok Sandunovskih Ban (‘Lane of the Sandunovsky Bath-Houses’) (thanks to attributes, the addressees understand which theater and which Bath-Houses are in question), the names proezd Teatra (‘Lane of a Theater’) or pereulok Ban' (‘Lane of Bath-Houses’) do not correspond to the language norms. This limitation is compensated by the possibility of forming toponyms such as Tetral'nyj proezd (‘Theater Lane’) and Bannyj pereulok (‘Bath-House Lane’), which use the traditional toponymic model.
Abstract Catastrophizing thoughts may contribute to the development of anxiety, but functional emotion regulation may help to improve treatment. No study so far directly compared up- and down-regulation of fear by cognitive reappraisal. Here, healthy individuals took part in a cued fear experiment, in which multiple pictures of faces were paired twice with an unpleasant scream or presented as safety stimuli. Participants (N = 47) were asked (within-subjects) to down-regulate, to up-regulate and to maintain their natural emotional response. Valence and arousal ratings indicated successful up- and down-regulation of the emotional experience, while heart rate and pupil dilation increased during up-regulation, but showed no reduction in down-regulation. State and trait anxiety correlated with evaluations of safety but not threat stimuli, which supports the role of deficient safety learning in anxiety. Reappraisal did not modulate this effect. In conclusion, this study reveals evidence for up-regulation effects in fear, which might be even more efficient than down-regulation on a physiological level and highlights the importance of catastrophizing thoughts for the maintenance of fear and anxiety.
Brazilian Sign Language (in Portuguese, Libras) is a visuospatial linguistic system adopted by the Brazilian deaf communities as the primary form of communication. Libras are a language of minority groups, thus their research and production of teaching materials do not receive the same incentive to progress or improve as oral languages. This complex language employs signs composed of forms and hands movements combined with facial expressions and postures of the body. Facial expressions rarely appear in sign language literature, despite their being essential to this form of communication. Thereby, this research objectives are to present and discuss sub-categories of the grammatical facial expressions of Libras, with two specific objectives: (1) the building of an annotated video corpus comprehending all the categories identified in the literature of facial expressions in Brazilian sign language; (2) the application of Facial Action Coding System (FACS) (which has its origins as an experimental model in psychology) as a tool for annotating facial expressions in sign language. Ruled by a qualitative approach, the video corpus was carried out with nineteen Libras users (sixteen deaf and three hearing participants) who translated forty- three phrases from Portuguese to Libras. The records were later transcribed with the Eudico Linguistic Annotator software tool. From the analysis of the literature review, it was observed the need to classify facial expression as subcategories of lexical, as intensity, homonyms, and norm. It is believed that it is necessary to expand the studies on facial expressions, favoring their documentation and the description of their linguistic functions. Advances in this sense can contribute to the learning of Libras by deaf students and also by listeners who propose to act as teachers or as translators and interpreters of this language system.
Attentional biases toward negative information are implicated in various emotional disorders. The literature probing this relationship relies on assumptions that the tasks used to measure attentional biases are sensitive to the negative emotional qualities of stimuli; but are such assumptions justified? We assessed the degree to which two widely used tasks-the dot probe and emotion-induced blindness-displayed sensitivity to gradations in valence and arousal ratings for negative emotional pictures. For emotion-induced blindness (the failure to see a target that follows an emotional distractor in a rapidly presented sequence of items), there was strong evidence of sensitivity to gradations in both valence and arousal. In contrast, there was moderate to strong evidence that the dot probe (a spatial attention task where latency to respond to a target depends on whether it appears at or away from the location of an emotional stimulus) was insensitive to gradations in valence and arousal, although there was some evidence of its sensitivity to emotional versus neutral stimuli overall. That said, in the dot probe, response latency regardless of spatial relationship between the target and the emotional image appeared sensitive to gradations in stimulus emotionality. Together, these findings suggest that such sensitivity may be characteristic of nonspatial, rather than spatial, aspects of attention. Implications for attentional bias studies are discussed. Notably, the finding that emotion-induced blindness was sensitive to gradations in ratings of emotional pictures supports claims that the effect arises due to stimulus emotionality rather than simply differences in visual features of pictures (e.g., color, brightness, complexity). (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Nowadays, no works in Tuvinian linguistics consider the specificity of anthroponyms borrowed from the Mongolian language, peculiarities of their adaptation and functioning in Tuvan Buddhist texts. Meanwhile, studying this word group can shed light on the formation and functioning of the Tuvan Buddhist vocabulary and reveal additional data on the history of the formation of lexical and phonetic features of the Tuvinian language associated with the Tuvan- Mongolian language and cultural contacts. It is worth studying Mongolian borrowed anthroponyms in the Tuvan translation of the Buddhist work “Üleger-Dalay” – the sutra “Sea of Proverbs,” the only Tuvan Buddhist source not influenced by the Russian-speaking Buddhist literature actively published and translated into Tuvan since the 1990s. The specificity of the Mongolian anthroponyms analyzed is that their nominative function simultaneously characterizes the referent and reflects its essence. They are divided into six thematic groups: names-epithets of Buddha, names associated with Buddhist practices, names indicating the inner qualities of a person, names of celestials, names associated with natural objects, names with somatismatic components indicating the appearance or associated with the circumstances of the referent’s birth. They are divided into three structural types: 1-component, 2-component (most of them), and 3-component. All borrowed Mongolian names have mostly been adapted to the phonetic norms of the Tuvinian language. The main ways of phonetic transformation are assimilation, formation of long vowels, replacement of some sounds and sound combinations with other sounds, simplification of vowels.
The article deals with interpretation of gender problems in amateur criticism of the German language. The goal of the study is to define specific features of gender-fair language forms, to detect the arguments of the discussion members as well as their linguistic explanation, and to consider the means of assessment used in discussion about gender-fair language. The materials examined were taken from German online-media for the period 2017 to 2021. The main research method is multifaceted discourse analysis which considers the trans-textual situation, intra-textual features and positions of the actors. The study is based on the achievements of feministic and gender linguistics. Examining gender-fair lexical units demonstrates their heterogeneity in form (natural and man-made) and content (gender specific and gender neutral). The arguments of the discussion members deal with important language problems, such as the possibility of a conscious change of language forms, the influence of language changes on the non-linguistic reality, understanding of grammar categories (gender of nouns), communicative function of the language, and problems of practical usage of language forms: intelligibility, reproducibility, compliance with mental and ethical norms. The analysis of evaluative vocabulary and keywords demonstrates conventionality and the reserve of assessments given by supporters of gender-fair language as well as the emotionality and figurativeness of assessments provided by opponents. The study of gender problems in amateur language criticism and their linguistic comprehension contributes to the development of modern scientific language criticism.
The aim of the present research was to assess age-related differences in how children and adults interpret and visually process emotionally ambiguous neutral faces. Children and adults provided neutral child faces with valence and arousal ratings while eye movements were recorded. Consistent with previous research, children and adults both interpreted the neutral faces as negatively valenced. Both age groups showed fewer fixations to the eye region when they rated the faces as positive. However, adults fixated more on the eye region when they rated the faces as negative whereas children fixated more on the eye region when they rated the faces as neutral. This finding may suggest that children strategically allocate attentional resources to the eye region when processing emotionally ambiguous faces to gather critical affective information. These findings have implications for the utilization of neutral faces as an experimental control condition and serve as the foundation for future research on the development of mechanisms that underlie the interpretation of emotionally ambiguous faces.
People routinely wear face masks during the pandemic, but little is known about their impact on body perception. In this online study, we presented female body images of Caucasian avatars in common dress sizes displaying happy, angry, and neutral facial expressions with and without face masks, and asked women to rate the perceived body attractiveness and body size. In comparison with mask-off condition, mask-on decreased body attractiveness ratings for happy avatars but did not affect ratings for neutral avatars irrespective of avatar dress sizes. For avatars displaying angry expressions, mask-on increased body attractiveness ratings for slimmer avatars but did not affect ratings for larger avatars. On the other hand, body size estimation was not systematically affected by face masks and facial expressions. It appears that face masks mainly show an expression-dependent influence on body attractiveness judgement, possibly through suppressing the perceived facial expressions.
Abstract Background The Montessori Method underpinned by the principle of person-centered care has been widely adopted to design activities for people with dementia. However, the methodological quality of the existing evidence is fair. The objectives of this study are to examine the feasibility and effects of a culturally adapted group-based Montessori Method for Dementia program in Chinese community on engagement and affect in community-dwelling people with dementia. Methods This was a two-arm randomized controlled trial. People who were aged 60 years or over and with mild to moderate dementia were recruited and randomly assigned to the intervention group to receive Montessori-based activities or the comparison group to receive conventional group activities over eight weeks. The attendance rates were recorded for evaluating the feasibility. The Menorah Park Engagement Scale and the Apparent Affect Rating Scale were used to assess the engagement and affect during the activities based on observations. Generalized Estimating Equation model was used to examine the intervention effect on the outcomes across the sessions. Results A total of 108 people with dementia were recruited. The average attendance rate of the intervention group (81.5%) was higher than that of the comparison group (76.3%). There was a significant time-by-group intervention effect on constructive engagement in the first 10 minutes of the sessions (Wald χ 2 = 15.21–19.93, ps = 0.006–0.033), as well as on pleasure (Wald χ 2 = 25.37–25.73, ps ≤ 0.001) and interest (Wald χ2 = 19.14–21.11, p s = 0.004–0.008) in the first and the middle 10 minutes of the sessions, adjusted for cognitive functioning. Conclusions This study provide evidence that Montessori-based group activities adapted to the local cultural context could effectively engage community-dwelling Chinese older people with mild to moderate dementia in social interactions and meaningful activities and significantly increase their positive affect. Trial registration ClinicalTrials.gov, NCT04352387. Registered 20 April 2020. Retrospectively registered.
The gleam-glum effect is a novel sound symbolic finding that words with the /i:/-phoneme (like gleam) are perceived more positive emotionally than matched words with the /Λ/-phoneme (like glum). We provide data that not only confirm the effect but also are consistent with an explanation that /i:/ and /Λ/ articulation tend to co-occur with activation of positive versus negative emotional facial musculature respectively. Three studies eliminate selection bias by including all applicable English words from the English Lexicon Project (Balota et al., 2007) and the Warriner et al. (2013) database and every possible Mandarin Pinyin combination that differ only in the middle phoneme (/i:/ vs /Λ/). In Study 1, 61 U.S. undergraduates rated monosyllabic English /i:/ words as robustly more positive than matched /Λ/ words. Study 2 analyzed the Warriner et al. (2013) valence ratings, extending the gleam-glum effect to all applicable words in the database. In Study 3, 38 U.S. participants (using English) and 37 participants in China (using Mandarin Pinyin) rated word pairs under three conditions that moderate musculature activity: Read aloud (Enhance), read silently (Control), and read silently while chewing gum (Interfere). Indeed, the effect was both replicated and was significantly larger when facial musculature was enhanced than when interfered with, and the two language populations did not significantly differ. These findings confirm a robust gleam-glum effect, despite semantic noise, in English and Mandarin Pinyin. Furthermore, these data are consistent with the hypothesis that this type of sound symbolism arises from the overlap in muscles used both in articulation and emotion expression. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
AbstractThis article discusses the issue of improving the definition of legal terms in the existing Uzbek dictionary. Recommendations are given to improve the interpretation using examples. The norm of the dictionary is that it recommends the norms of spelling, pronunciation, word formation and its use in literary language. But it is not an easy task to notice the norm, to distinguish the normative cases. In particular, in the example of terms related to the field of law, which is the object of our research, we can say that the right mentioned in this explanatory dictionary. In the absence of signs indicating the legality of the lexical unit, which is the key word, or in the absence of these special signs, some cases related to the presence of words or phrases related to jurisprudence in the commentary were identified. But the terms 3types of criminal, given in the same line, are also given without the same lexical pomet as the same units (criminal and criminal). The logical conclusion is that these should also be considered legal terms, but in legal terminology these units do not occur. Thus, the presence of words and phrases in the dictionary, indicating the relevance of the field, which does not exclude the need to use a special sign as a unit.
The categorical approach to cross-cultural emotion perception research has mainly relied on constrained experimental tasks, which have arguably biased previous findings and attenuated cross-cultural differences. On the other hand, in the constructionist approach, conclusions on the universal nature of valence and arousal have mainly been indirectly drawn based on participants' word-matching or free-sorting behaviors, but studies based on participants' continuous valence and arousal ratings are very scarce. When it comes to self-reports of specific emotion perception, constructionists tend to rely on free labeling, which has its own limitations. In an attempt to move beyond the limitations of previous methods, a new instrument called the Two-Dimensional Affect and Feeling Space (2DAFS) has been developed. The 2DAFS is a useful, innovative, and user-friendly instrument that can easily be integrated in online surveys and allows for the collection of both continuous valence and arousal ratings and categorical emotion perception data in a quick and flexible way. In order to illustrate the usefulness of this tool, a cross-cultural emotion perception study based on the 2DAFS is reported. The results indicate the cross-cultural variation in valence and arousal perception, suggesting that the minimal universality hypothesis might need to be more nuanced.
This is a small hand-annotated partial treebank of Tibetan, primarily in CoNLL-U format. It builds upon the following corpus: Hill, Nathan W., & Garrett, Edward. (2017). A part-of-speech (POS) tagged corpus of Classical Tibetan [Data set]. Zenodo. http://doi.org/10.5281/zenodo.574878 This corpus differs from the above in three ways: The tagset has been converted from the SOAS tag system to the Universal Dependency part-of-speech tagset. We have added dependency relations between verbs and their argument. For some of the texts, English translations were available in digital form. These translations were manually aligned to the Tibetan texts and included in the CoNLL-U files. It was created as part of the AHRC-funded project <em>Lexicography in Motion </em>(PI Ulrich Pagel, 2017-2021).
Abstract How we perceive the world is not solely determined by our experiences at a given moment in time, but also by what we have experienced in our immediate past. Here, we investigated whether such sequential effects influence the affective appraisal of food images. Participants from 16 different countries ( N = 1278) watched a randomly presented sequence of 60 different food images and reported their affective appraisal of each image in terms of valence and arousal. For both measures, we conducted an inter-trial analysis, based on whether the rating on the preceding trial(s) was low or high. The analyses showed that valence and arousal ratings for a given food image are both assimilated towards the ratings on the previous trial (i.e., a positive serial dependence). For a given trial, the arousal rating depends on the arousal ratings up to three trials back. For valence, we observed a positive dependence for the immediately preceding trial only, while a negative (repulsive) dependence was present up to four trials back. These inter-trial effects were larger for males than for females, but independent of the participants’ BMI, age, and cultural background. The results of this exploratory study may be relevant for the design of websites of food delivery services and restaurant menus.
The article presents educational, informative and methodical materials necessary for studying the theme “Professional communication a physician and a patient with symptoms diseases of the digestive system’s organs” in classes on the discipline “Professional medical communication of a doctor with a patient in Ukrainian language”. The complex of tasks is aimed at the development of students’ communicative skills and abilities: to study the vocabulary to denote the organs of the digestive system, gastrointestinal diseases; be able to build monologue and dialogic expressions that describe the causes and symptoms of the digestive system’s diseases, using learned lexical units and phrases; to develop skills of collecting the anamnesis of gastroenterological diseases; memorize phrases and sentences for first aid in food poisoning, in emergencies during stomach pain; to create modern informative and expert systems for developing lesson’s materials. The proposed system of tasks will help to master the skills and abilities to communicate orally and in writing in accordance with the goals and social norms of speech behavior in typical spheres and situations. Taking into account different methods and forms of work, the tasks with which it was possible to ensure the active participation of each student in the class, to stimulate interest and desire to study medical terminology in accordance with the topic of the class are singled out. It was suggested a variety of test and creative tasks to check the knowledge of the student’s studied topic. The materials described in the article are intended for foreign students of medical specialties who speak the language at a sufficient level. Tasks selected on the basis of four main types of speech activity (listening, speaking, reading, writing) will help foreign students not only to expand their vocabulary, but also to achieve social interaction in a foreign language professional sphere.
BACKGROUND: The strong and long lockdown adopted by the Italian government to limit COVID-19 spreading represents the first threat-related mass isolation in history that can be studied in depth by scientists to understand individuals' emotional response to a pandemic. METHODS: We investigated the effects on individuals' mental wellbeing of this long-term isolation by means of an online survey on 71 Italian volunteers. They completed the Positive and Negative Affect Schedule and Fear of COVID-19 Scale and judged valence, arousal, and dominance of words either related or unrelated to COVID-19, as identified by Google search trends. RESULTS: Emotional judgments changes from normative data varied depending on word type and individuals' emotional state, revealing early signals of individuals' mental distress to COVID-19 confinement. All individuals judged COVID-19-related words to be less positive and dominant. However, individuals with more negative feelings and COVID-19 fear also judged COVID-19-unrelated words to be less positive and dominant. Moreover, arousal ratings increased for all words among individuals with more negative feelings and COVID-19 fear but decreased among individuals with less negative feelings and COVID-19 fear. DISCUSSION: Our results show a rich picture of emotional reactions of Italians to tight and 2-month long confinement, identifying early signals of mental health distress. They are an alert to the need for intervention strategies and psychological assessment of individuals potentially needing mental health support following the COVID-19 situation.
Neural networks are often over-parameterized and hence benefit from aggressive regularization. Conventional regularization methods, such as dropout or weight decay, do not leverage the structures of the network's inputs and hidden states. As a result, these conventional methods are less effective than methods that leverage the structures, such as SpatialDropout and DropBlock, which randomly drop the values at certain contiguous areas in the hidden states and setting them to zero. Although the locations of dropping areas random, the patterns of SpatialDropout and DropBlock are manually designed and fixed. Here we propose to learn the dropping patterns. In our method, a controller learns to generate a dropping pattern at every channel and layer of a target network, such as a ConvNet or a Transformer. The target network is then trained with the dropping pattern, and its resulting validation performance is used as a signal for the controller to learn from. We show that this method works well for both image recognition on CIFAR-10 and ImageNet, as well as language modeling on Penn Treebank and WikiText-2. The learned dropping patterns also transfers to different tasks and datasets, such as from language model on Penn Treebank to Engligh-French translation on WMT 2014. Our code will be available at: https://github.com/googleresearch/google-research/tree/master/auto_dropout.
ДЕВДАРИАНИ Наталья Валерьевна, кандидат философских наук
We propose a theoretical reflection on the functions of linguistic norms and the tensions between the linguistic centre(s) and peripheries for any language that has undergone standardization. We propose that dialects have a right to be recognized in the language's codified norms because of the impact that standardization has on (peripheral) speakers' perceptions of, and feelings towards, their own varieties. To illustrate these ideas, we use the case of the Catalan language, which has undergone a complex and still incomplete process of standardization since the beginning of the twentieth century. After describing Catalan's current sociolinguistic situation, we analyse the recent Gramàtica de la llengua catalana (2016) by the Institut d'Estudis Catalans (GIEC). The volume approaches linguistic codification as a process of 'prescription through description'.
This paper introduces ABC Treebank, a general-purpose categorial grammar (CG) treebank for Japanese.It is 'general-purpose' in the sense that it is not tailored to a specific variant of CG, but rather aims to offer a theory-neutral linguistic resource (as much as possible) which can be converted to different versions of CG (specifically, CCG and Type-Logical Grammar) relatively easily.In terms of linguistic analysis, it improves over the existing Japanese CG treebank (Japanese CCGBank) on the treatment of certain linguistic phenomena (passives, causatives, and control/raising predicates) for which the lexical specification of the syntactic information reflecting local dependencies turns out to be crucial.In this paper, we describe the underlying 'theory' dubbed ABC Grammar that is taken as a basis for our treebank, outline the general construction of the corpus, and report on some preliminary results applying the treebank in a semantic parsing system for generating logical representations of sentences.
We propose the Recursive Non-autoregressive Graph-to-Graph Transformer architecture (RNGTr) for the iterative refinement of arbitrary graphs through the recursive application of a non-autoregressive Graph-to-Graph Transformer and apply it to syntactic dependency parsing. We demonstrate the power and effectiveness of RNGTr on several dependency corpora, using a refinement model pre-trained with BERT. We also introduce Syntactic Transformer (SynTr), a non-recursive parser similar to our refinement model. RNGTr can improve the accuracy of a variety of initial parsers on 13 languages from the Universal Dependencies Treebanks, English and Chinese Penn Treebanks, and the German CoNLL2009 corpus, even improving over the new state-of-the-art results achieved by SynTr, significantly improving the state-of-the-art for all corpora tested.
The combined use of neural scoring systems and BERT fine-tuning has led to very high results in many natural language processing (NLP) tasks. These high results raise two important questions about the contribution and the limitations of pretrained-language models: (i) what are the remaining errors in the bestperforming systems? (ii) what are the types of test examples where pretrained language models help the most? In this paper, we investigate both questions for the task of English discontinuous constituency parsing on the Penn Treebank, for which recent models obtain close to 95 F 1 score. To do so, we propose two methods for automatically analysing the errors of discontinuous parser. First, we annotate and release a test-suite focused on the syntactic phenomena responsible for discontinuities in the Penn Treebank, enabling us to obtain a per-phenomenon evaluation of a parser's output. Second, we extend the Berkeley Parser Analyser -a tool that classifies parsing errors according to predefined structural patterns -, to discontinuous trees. We apply both methods to characterize errors of a state-of-theart transition-based discontinuous parser, and to provide an overview of the contribution of BERT to this task.
Each language has its own linguistic laws of name creation. Regardless of the field in which Naming technology works as a type of activity, its main goal in linguistics is to develop linguistic norms for the creation of a specific language-specific name. Every name, developed in accordance with linguistic norms, should help trade, production facilities, products to be competitive in the market, to develop, gain fame and spread widely. This article analyzes a number of requirements and criteria for name creation in linguistics, developed by Neimer-practitioners, and analyzes the models of name creation in the Uzbek language.
We propose two fast neural combinatory models for constituency parsing: binary and multibranching. Our models decompose the bottomup parsing process into 1) classification of tags, labels, and binary orientations or chunks and 2) vector composition based on the computed orientations or chunks. These models have theoretical sub-quadratic complexity and empirical linear complexity. The binary model achieves an F1 score of 92.54 on Penn Treebank, speeding at 1327.2 sents/sec. Both the models with XLNet provide near state-of-theart accuracies for English. Syntactic branching tendency and headedness of a language are observed during the training and inference processes for Penn Treebank, Chinese Treebank, and Keyaki Treebank (Japanese).
Accurate recovery of predicate-argument structure from a Universal Dependency (UD) parse is central to downstream tasks such as extraction of semantic roles or event representations. This study introduces compchains, a categorization of the hierarchy of predicate dependency relations present within a UD parse. Accuracy of compchain classification serves as a proxy for measuring accurate recovery of predicate-argument structure from sentences with embedding. We analyzed the distribution of compchains in three UD English treebanks, EWT, GUM and LinES, revealing that these treebanks are sparse with respect to sentences with predicate-argument structure that includes predicate-argument embedding. We evaluated the CoNLL 2018 Shared Task UDPipe (v1.2) baseline (dependency parsing) models as compchain classifiers for the EWT, GUMS and LinES UD treebanks. Our results indicate that these three baseline models exhibit poorer performance on sentences with predicate-argument structure with more than one level of embedding; we used compchains to characterize the errors made by these parsers and present examples of erroneous parses produced by the parser that were identified using compchains. We also analyzed the distribution of compchains in 58 non-English UD treebanks and then used compchains to evaluate the CoNLL'18 Shared Task baseline model for each of these treebanks. Our analysis shows that performance with respect to compchain classification is only weakly correlated with the official evaluation metrics (LAS, MLAS and BLEX). We identify gaps in the distribution of compchains in several of the UD treebanks, thus providing a roadmap for how these treebanks may be supplemented. We conclude by discussing how compchains provide a new perspective on the sparsity of training data for UD parsers, as well as the accuracy of the resulting UD parses.
The application value of the convolutional neural network (CNN) algorithm in the diagnosis of sports knee osteoarthropathy was investigated in this study. A network model was constructed in this experiment for image analysis of magnetic resonance imaging (MRI) technology. Then, 100 cases of sports knee osteoarthropathy patients and 50 healthy volunteers were selected. Digital radiography (DR) images and MRI images of all the research objects were collected after the inclusion of the two groups. Besides, the important physiological representations were extracted from their image data graphs, and the hidden complex relationships were learned. The state without input results was judged through convolutional network calculation, and the result prediction was given. On this basis, there was an analysis of the diagnostic efficiency of traditional DR images and MRI images based on CNN for patients with sports knee osteoarthropathy. The results showed that the MRI images analyzed by the CNN model showed a more obvious display rate than DR images for some nonbone changes of osteoarthritis. The correlation coefficient between MRI image rating and visual analog scale (VAS) was 0.865, which was higher than 0.713 of DR image rating, with a statistical meaning ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> <mo><</mo> <mn>0.01</mn> </math> ). For cases with mild lesions, the number of cases detected by MRI based on CNN algorithm in 0–4 image rating was 15, 18, 10, 6, and 7, respectively, which was markedly better than that of DR images. In short, the MRI examination based on the CNN image analysis model could extract important physiological representations from the image data and learn the hidden complex relationships. The convolutional network was calculated to determine the state of the uninput results and give the result predictions. Moreover, MRI examination based on the CNN image analysis model had high overall diagnostic efficiency and grading diagnostic efficiency for patients with motor knee osteoarthropathy, which was of great significance in clinical practice.
OBJECTIVE: To evaluate the effect magnitude of different parameters on smile attractiveness. MATERIALS AND METHODS: A reference and 13 images were produced by manipulating 13 parameters. Image rating was performed with a 4-point Likert scale from least attractive (1) to most attractive (4). Image raters included laypeople, dental students, dentists, and dental specialists. Friedman and Wilcoxon image were used for estimate of effect size. Parameters were classified into small (0.10- < 0.30), medium (0.30- < 0.5), or large (≥0.50). RESULTS: A total of 1040 people participated with good consistency (α = 0.861), and moderate reliability (0.64-0.7). The reference image had the highest rank (laypeople:11.79, dental background: 12.55). For effect size; gingival margin level (-0.11, -0.01), teeth width proportion (-0.09, -0.10), inverted smile arch (-0.09, -0.21), commissure line cant (-0.15, -0.17) and low smile (-0.24, -0.23) had small effect size; occlusal plane cant (-0.36, -0.49), midline cant (-0.36, -0.48), and midline shift (-0.37, -0.49) had medium effect size; diastema (-0.55, -0.54) and color (-0.56, -0.56) had large effect size for the laypeople and dental groups. High smile (-0.42, -0.51), incisor edge symmetry (-0.46, -0.54) had medium effect size in laypeople group and large effect size in the dental group. Width to length tooth proportion (-0.26, -0.39) had small effect size in the laypeople group and medium effect size in the dental group. CONCLUSIONS: Smile parameters had different effect magnitude on smile attractiveness and were classified into small, medium, or large parameters. Neither laypeople nor professionals have a collective judgment on what constitutes a beautiful smile. CLINICAL SIGNIFICANCE: This study investigated the effect magnitudes of 13 smile parameters and presented a small, medium, and large smile parameters classification. It should provide the clinician with an insight into the expected effect each parameter has on the smile.
The article focuses on the linguistic personality of A.V. Suvorov – one of the most important historical figures famous for his military achievements, including his service and warfare in Slavic territories (military service in the Lublin region, participation in hostilities in Poland, the Battle of Brest, etc.), a prominent representative of the Russian cultural elite in the 18th century. The study employs methods of linguopersonology and historical lexicology. It aims to describe a historical language personality, viewed as a reflection of both an individual with a linguistic potential, a type of specific linguistic reflection, and of the era as a whole with its inherent linguistic features and tendencies. Processes in the language at a given time period are also manifested in the language of an individual. The study focuses on the borrowed lexis, reflecting the general instability of the Russian language system of the period, which resulted from the prevailing multilingualism of the Russian nation, a significant increase in foreign words in the Russian language, and a change in linguistic norms. Through the prism of xenolexis, the authors describe Suvorov’s language personality reflected in his letters to note his broad outlook, fluency in native and foreign languages, linguistic intuition, innovative use of units of native and foreign languages.
A disponibilidade de recursos para o processamento computacional constitui um dos fatores de sobrevivência de uma língua. O objetivo deste trabalho foi implementar um fragmento do nheengatu no formalismo Grammatical Framework, especialmente projetado para o desenvolvimento de aplicações multilíngues. Outrora mais falado que o português na Amazônia, o nheengatu está ameaçado de extinção, embora ainda conte com estimados 14000 falantes. O fragmento restringe-se a orações que expressam estados contingentes e não-contingentes, mas inclui fenômenos gramaticais estruturalmente complexos típicos da família tupi-guarani, os quais contrastam fortemente com as construções equivalentes em português e inglês. Constitui um dos módulos da GrammYEP, uma gramática computacional multilíngue que integra módulos análogos do inglês e do português. A implementação tomou como ponto de partida as descrições gramaticais não formalizadas de Navarro (2011) e Cruz (2011). A formalização revelou lacunas e inconsistências nessas abordagens, em parte sanados por meio de uma reanálise dos dados. A GrammYEP alcançou resultados bastantes satisfatórios na tradução do e para o nheengatu. Traduziu para o português e o inglês a totalidade de um conjunto-teste de 142 sentenças dessa língua. Inversamente, verteu para o nheengatu 98,18% e 84,11% dos conjuntos-teste correspondentes em português e inglês. Por outro lado, analisou apenas dois exemplos de um conjunto-teste negativo com 171 construções agramaticais em nheengatu. Desta avaliação resultou um treebank com 243 sentenças do nheengatu, emparelhadas com as sentenças equivalentes em português e inglês.
In this paper, we present a first attempt at enriching German Universal Dependencies (UD) treebanks with enhanced dependencies. Similarly to the converter for English For quality control, we manually correct or validate a set of 196 sentences, finding that around 90% of added relations are correct. Our data analysis reveals that difficulties arise mainly due to inconsistencies in the basic layer annotations. We show that the English system is in general applicable to German data, but that adapting to the particularities of the German treebanks and language increases precision and recall by up to 10%. Comparing the application of our converter on gold standard dependencies vs. automatic parses, we find that F1 drops by around 10% in the latter setting due to error propagation. Finally, an enhanced UD parser trained on a converted treebank performs poorly when evaluated against our annotations, indicating that more work remains to be done to create gold standard enhanced German treebanks.
Abstract Classical views suggest that experienced affect is related to a specific bodily response ( Fingerprint hypothesis ), whereas recent perspectives challenge this view postulating that similar affective experiences rather evoke different physiological responses. To further advance this debate in the field, we used representational similarity analysis (N= 64) to investigate the correspondence between subjective affect (arousal and valence ratings) and physiological reactions (skin conductance response [SCR], startle blink response, heart rate and corrugator activity) across various emotion induction contexts (picture viewing task, sound listening task and imagery task). Significant similarities were exclusively observed between SCR and arousal in the picture viewing task. However, none of the other physiological measures showed a significant relation with valence and arousal ratings in any of the tasks. These findings tend to support the populations hypothesis, suggesting that there is no clear match between the evoked physiological responses and the experienced subjective affect between individuals. Statement of relevance The subjective affective experience evoked by an event is accompanied by physiological responses. The correspondence between physiological response patterns and the experienced affect, however, is still under debate. Classical views ( Fingerprint hypothesis ) suggest that affect is related to a specific physiological response, whereas recent perspectives ( Populations hypothesis ) challenge this view, postulating rather different physiological responses. In the current study, we used representational similarity analysis (RSA) to examine the relation between affective experience, assessed using valence and arousal ratings, and the evoked physiological reactivity across three affect-inducing contexts. Results showed significant similarities exclusively between SCR and arousal in the passive picture viewing task. However, none of the other physiological measures showed a significant relation with valence and arousal ratings in any of the tasks, supporting the populations hypothesis. These findings invite to reframe the relation between physiology and affect from invariant and homogeneous to variant and context-dependent.