845 resultados para Turkish language--Orthography and spelling
Resumo:
From the moment of their birth, a person's life is determined by their sex. Ms. Goroshko wants to know why this difference is so striking, why society is so concerned to sustain it, and how it is able to persist even when certain national or behavioural stereotypes are erased between people. She is convinced of the existence of not only social, but biological differences between men and women, and set herself the task, in a manuscript totalling 126 pages, written in Ukrainian and including extensive illustrations, of analysing these distinctions as they are manifested in language. She points out that, even before 1900, certain stylistic differences between the ways that men and women speak had been noted. Since then it has become possible, for instance in the case of Japanese, to point to examples of male and female sub-languages. In general, one can single out the following characteristics. Males tend to write with less fluency, to refer to events in a verb-phrase, to be time-oriented, to involve themselves more in their references to events, to locate events in their personal sphere of activity, and to refer less to others. Therefore, concludes Ms Goroshko, the male is shown to be more active, more ego-involved in what he does, and less concerned about others. Women, in contrast, were more fluent, referred to events in a noun-phrase, were less time-oriented, tended to be less involved in their event-references, locate events within their interactive community and refer more to others. They spent much more time discussing personal and domestic subjects, relationship problems, family, health and reproductive matters, weight, food and clothing, men, and other women. As regards discourse strategies, Ms Goroshko notes the following. Men more often begin a conversation, they make more utterances, these utterances are longer, they make more assertions, speak less carefully, generally determine the topic of conversation, speak more impersonally, use more vulgar expressions, and use fewer diminutives and more imperatives. Women's speech strategies, apart from being the opposite of those enumerated above, also contain more euphemisms, polite forms, apologies, laughter and crying. All of the above leads Ms. Goroshko to conclude that the differences between male and female speech forms are more striking than the similarities. Furthermore she is convinced that the biological divergence between the sexes is what generates the verbal divergence, and that social factors can only intensify or diminish the differentiation in verbal behaviour established by the sex of a person. Bearing all this in mind, Ms Goroshko set out to construct a grammar of male and female styles of speaking within Russian. One of her most important research tools was a certain type of free association test. She took a list comprising twelve stimuli (to love, to have, to speak, to fuck, a man, a woman, a child, the sky, a prayer, green, beautiful) and gave it to a group of participants specially selected, according to a preliminary psychological testing, for the high levels of masculinity or femininity they displayed. Preliminary responses revealed that the female reactions were more diverse than the male ones, there were more sentences and word combinations in the female reactions, men gave more negative responses to the stimulus and sometimes didn't want to react at all, women reacted more to adjectives and men to nouns, and that, surprisingly, women coloured more negatively their reactions to the words man, to love and a child (Ms. Goroshko is inclined to attribute this to the present economic situation in Russia). Another test performed by Ms. Goroshko was the so-called "defective text" developed by A.A. Brudny. All participants were distributed with packets of complete sentences, which had been taken from a text and then mixed at random. The task was to reconstruct the original text. There were three types of test, the first descriptive, the second narrative, and the third logical. Ms. Goroshko created computer programmes to analyse the results. She found that none of the reconstructed texts was coincident with the original, differing both from the original text and amongst themselves and that there were many more disparities in the male than the female texts. In the descriptive and logical texts the differences manifested themselves more clearly in the male texts, and in the narrative texts in the female texts. The widest dispersal of values was observed at the outset, while the female text ending was practically coincident with the original (in contrast to the male ending). The greatest differences in text reconstruction for both males and females were registered in the middle of the texts. Women, Ms. Goroshko claims, were more sensitive to the semantic structure of the texts, since they assembled the narrative text much more accurately than the other two, while the men assembled more accurately the logical text. Texts written by women were assembled more accurately by women and texts by men by men. On the basis of computer analysis, Ms. Goroshko found that female speech was substantially more emotional. It was expressed by various means, hyperbole, metaphor, comparisons, epithets, ways of enumeration, and with the aid of interjections, rhetorical questions, exclamations. The level of literacy was higher for female speech, and there were fewer mistakes in grammar and spelling in female texts. The last stage of Ms Goroshko's research concerned the social stereotypes of beliefs about men and women in Russian society today. A large number of respondents were asked questions such as "What merits must a woman possess?", "What are male vices and virtues?", etc. After statistical manipulation, an image of modern man and woman, as it exists in the minds of modern Russian men and women, emerged. Ms. Goroshko believes that her findings are significant not only within the field of linguistics. She has already successfully worked on anonymous texts and been able to decide on the sex of the author and consequently believes that in the future her research may even be of benefit to forensic science.
Resumo:
From the moment of their birth, a person's life is determined by their sex. Goroshko wanted to find out why this difference is so striking, why society is so determined to sustain it, and how it can persist even when certain national or behavioural stereotypes are erased. She believes there are both social and biological differences between men and women, and set out to analyse these distinctions as they are manifested in language. Certain general characteristics can be identified. Males tend to write with less fluency, to refer to events in a verb phrase, to be time-oriented, to involve themselves more in their references to events, to locate events in their personal sphere of activity, and to refer less to others. Goroshko therefore concludes that the male is more active, more ego-involved in what he does and less concerned about others. Women were more fluent, referred to events in a noun-phrase, were less time-oriented, tended to be less involved in their event references, located events within their interactive community, and referred more to others. They spent much more time discussing personal and domestic subjects, relationship problems, family, health and reproductive matters, weight, food and clothing, men, and other women. Computer analysis showed that female speech was substantially more emotional, using hyperbole, metaphor, comparisons, epithets, ways of enumeration, interjections, rhetorical questions and exclamations. The level of literacy was higher in female speech, and women made fewer grammatical and spelling mistakes in written texts. Goroshko believes that her findings have relevance beyond the linguistic field. When working on anonymous texts she has been able to decide on the sex of the author and so believes that her research may even be of benefit to forensic science.
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Stemmatology, or the reconstruction of the transmission history of texts, is a field that stands particularly to gain from digital methods. Many scholars already take stemmatic approaches that rely heavily on computational analysis of the collated text (e.g. Robinson and O’Hara 1996; Salemans 2000; Heikkilä 2005; Windram et al. 2008 among many others). Although there is great value in computationally assisted stemmatology, providing as it does a reproducible result and allowing access to the relevant methodological process in related fields such as evolutionary biology, computational stemmatics is not without its critics. The current state-of-the-art effectively forces scholars to choose between a preconceived judgment of the significance of textual differences (the Lachmannian or neo-Lachmannian approach, and the weighted phylogenetic approach) or to make no judgment at all (the unweighted phylogenetic approach). Some basis for judgment of the significance of variation is sorely needed for medieval text criticism in particular. By this, we mean that there is a need for a statistical empirical profile of the text-genealogical significance of the different sorts of variation in different sorts of medieval texts. The rules that apply to copies of Greek and Latin classics may not apply to copies of medieval Dutch story collections; the practices of copying authoritative texts such as the Bible will most likely have been different from the practices of copying the Lives of local saints and other commonly adapted texts. It is nevertheless imperative that we have a consistent, flexible, and analytically tractable model for capturing these phenomena of transmission. In this article, we present a computational model that captures most of the phenomena of text variation, and a method for analysis of one or more stemma hypotheses against the variation model. We apply this method to three ‘artificial traditions’ (i.e. texts copied under laboratory conditions by scholars to study the properties of text variation) and four genuine medieval traditions whose transmission history is known or deduced in varying degrees. Although our findings are necessarily limited by the small number of texts at our disposal, we demonstrate here some of the wide variety of calculations that can be made using our model. Certain of our results call sharply into question the utility of excluding ‘trivial’ variation such as orthographic and spelling changes from stemmatic analysis.
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The aim of this project is to investigate the use of gender-fair language from a cross-linguistic perspective. Specifically, we are interested in whether the use of gender-fair language correlates with socio-economic rankings of gender equality and with structural features of a language. We decided to analyze online job advertisements, as they reflect common language use and can easily be compared across languages. Moreover, formulations in job advertisements have been shown to impact personnel selection via the way target groups are addressed and referred to. In the present study we examined to what extent job advertisements are formulated in a gender-fair way and how this correlates with factors such as language, culture as well as status and gender-typicality of the job advertised. The data consisted of job advertisements published online in four European countries which occupy different positions in socio-economic rankings of gender equality (World Economic Forum, 2011): Switzerland (10), Austria (rank 34), Poland (42), and Czech Republic (75). We randomly selected 100 job advertisements from four lines of business characterized by different proportions of female employees – steels/metals, science, restaurants/food services, and health care. The advertisements were analyzed with regard to the linguistic form of the job title and the remaining text; we also noted indicators of job status, reference to gender-typical traits, pictures of women/men and other information which might be relevant to the use of gender-fair language (e.g., equal opportunity policies). A first analysis of the data indicates that the phrasing of job titles is closely related to the gender-typicality of a profession. While mainly gender-fair forms are used in healthcare, masculine forms are used more often in the domain of steels and metals. Feminine forms only, however, are almost never used. Cultural differences as well as correlations with associated variables will be discussed.
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When masculine forms are used to refer to men and women, this causes male-biased cognitive representations and behavioral consequences, as numerous studies have shown. This effect can be avoided or reduced with the help of gender-fair language. In this talk, we will present different approaches that aim at influencing people’s use of and attitudes towards gender-fair language. Firstly, we tested the influence of gender-fair input on people’s own use of gender-fair language. Based on Irmen and Linner’s (2005) adaptation of the scenario mapping and focus approach (Sanford & Garrod, 1998), we found that after reading a text with gender-fair forms women produced more gender-fair forms than women who read gender-neutral texts or texts containing masculine generics. Men were not affected. Secondly, we examined reactions to arguments which followed the Elaboration Likelihood Model (Petty &Cacioppo, 1986). We assumed that strong pros and cons would be more effective than weak arguments or control statements. The results indicated that strong pros could convince some, but not all participants, suggesting a complex interplay of diverse factors in reaction to attempts at persuasion. The influence of people’s initial characteristics will be discussed. Currently, we are investigating how self-generated refutations, in addition to arguments, may influence initial attitudes. Based on the resistance appraisal hypothesis (Tormala, 2008), we assume that individuals are encouraged in their initial attitude if they manage to refute strong counter-arguments. The results of our studies will be discussed regarding their practical implications.
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Gender-fair language, including women and men, such as word pairs has a substantial impact on the mental representation, as a large body of studies have shown. When using exclusively the masculine form as a generic, women are mentally significantly less represented than men. Word pairs, however, lead to a higher cognitive inclusion of women. Surprisingly little research has been conducted to understand how the perception of professional groups is affected by gender-fair language. Providing evidence from an Italian-Austrian cross-cultural study with over 400 participants, we argue that gender-fair language impacts the perception of professional groups, in terms of perceived gender-typicality, number of women and men assumed for a profession, social status and average income. Results hint at a pervasive pay-off: on the one hand, gender-fair language seems to boost the mental representations in favor of women and professions are perceived as being rather gender-neutral. On the other hand professional groups are assigned lower salary and social status with word pairs. Implications of results are discussed.
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For several years now, neuroscientific research has been striving towards fundamental answers to questions about the relevance of sex/gender to language processing in the brain. This research has been effected through the search for sex/gender differences in the neurobiology of language processing. Thus, the main aim has ever been to focus on the differentiation of the sexes/genders, failing to define what sex, what gender, what female or male is in neurolingustic research. In other words, although neuroscientific findings have provided key insights into the brain functioning of women and men, neuropsychology has rarely questioned the complexity of the sex/gender variable beyond biology. What does “female” or “male” mean in human neurocognition; how are operationalisations implemented along the axes of “femaleness” or “maleness”; or what biological evidence is used to register the variables sex and/or gender? In the neurosciences as well as in neurocognitive research, questions such as these have so far not been studied in detail, even if they are highly significant for the scientific process. Instead, the variable of sex/gender has always been thought as solely dichotomous (as either female or male), oppositional and exclusionary of each other. Here, this theoretical contribution sets in. Based on findings in neuroscience and concepts in gender theory, this poster is dedicated to the reflection about what sex/gender is in the neuroscience of language processing. Following this aim, two levels of interest will be addressed. First: How do we define sex/gender at the level of participants? And second: How do we define sex/gender at the level of the experimental task? For the first, a multifactorial registration (work in progress) of the variable sex/gender will be presented, i.e. a tool that records sex/gender in terms of biology and social issues as well as on a spectrum between femaleness and maleness. For the second, the compulsory dichotomy of a gendered task when neurolinguistically approaching our cognitions of sex/gender will be explored.
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Recent studies using diffusion tensor imaging (DTI) have advanced our knowledge of the organization of white matter subserving language function. It remains unclear, however, how DTI may be used to predict accurately a key feature of language organization: its asymmetric representation in one cerebral hemisphere. In this study of epilepsy patients with unambiguous lateralization on Wada testing (19 left and 4 right lateralized subjects; no bilateral subjects), the predictive value of DTI for classifying the dominant hemisphere for language was assessed relative to the existing standard-the intra-carotid Amytal (Wada) procedure. Our specific hypothesis is that language laterality in both unilateral left- and right-hemisphere language dominant subjects may be predicted by hemispheric asymmetry in the relative density of three white matter pathways terminating in the temporal lobe implicated in different aspects of language function: the arcuate (AF), uncinate (UF), and inferior longitudinal fasciculi (ILF). Laterality indices computed from asymmetry of high anisotropy AF pathways, but not the other pathways, classified the majority (19 of 23) of patients using the Wada results as the standard. A logistic regression model incorporating information from DTI of the AF, fMRI activity in Broca's area, and handedness was able to classify 22 of 23 (95.6%) patients correctly according to their Wada score. We conclude that evaluation of highly anisotropic components of the AF alone has significant predictive power for determining language laterality, and that this markedly asymmetric distribution in the dominant hemisphere may reflect enhanced connectivity between frontal and temporal sites to support fluent language processes. Given the small sample reported in this preliminary study, future research should assess this method on a larger group of patients, including subjects with bi-hemispheric dominance.
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Gender-fair language (GFL) aims at reducing gender stereotyping and discrimination. Two principle strategies have been employed to make languages gender-fair and to treat women and men symmetrically: neutralization and feminization. Neutralization is achieved, for example, by replacing male-masculine forms (policeman) with gender-unmarked forms (police officer), whereas feminization relies on the use of feminine forms to make female referents visible (i.e., the applicant… he or she instead of the applicant… he). By integrating research on (1) language structures, (2) language policies, and (3) individual language behavior, we provide a critical review of how GFL contributes to the reduction of gender stereotyping and discrimination. Our review provides a basis for future research and for scientifically based policy-making.
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Neuro-evolutive development from birth until the age of six years is a decisive factor in a child?s quality of life. Early detection of development disorders in early childhood can facilitate necessary diagnosis and/or treatment. Primary-care pediatricians play a key role in its detection as they can undertake the preventive and therapeutic actions requested to promote a child?s optimal development. However, the lack of time and little specific knowledge at primary-care avoid to applying continuous early-detection anomalies procedures. This research paper focuses on the deployment and evaluation of a smart system that enhances the screening of language disorders in primary care. Pediatricians get support to proceed with early referral of language disorders. The proposed model provides them with a decision-support tool for referral actions to trigger essential diagnostic and/or therapeutic actions for a comprehensive individual development. The research was conducted by starting from a sample of 60 cases of children with language disorders. Validation was carried out through two complementary steps: first, by including a team of seven experts from the fields of neonatology, pediatrics, neurology and language therapy, and, second, through the evaluation of 21 more previously diagnosed cases. The results obtained show that therapist positively accepted the system proposal in 18 cases (86%) and suggested system redesign for single referral to a speech therapist in three remaining cases.
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Cerebral organization during sentence processing in English and in American Sign Language (ASL) was characterized by employing functional magnetic resonance imaging (fMRI) at 4 T. Effects of deafness, age of language acquisition, and bilingualism were assessed by comparing results from (i) normally hearing, monolingual, native speakers of English, (ii) congenitally, genetically deaf, native signers of ASL who learned English late and through the visual modality, and (iii) normally hearing bilinguals who were native signers of ASL and speakers of English. All groups, hearing and deaf, processing their native language, English or ASL, displayed strong and repeated activation within classical language areas of the left hemisphere. Deaf subjects reading English did not display activation in these regions. These results suggest that the early acquisition of a natural language is important in the expression of the strong bias for these areas to mediate language, independently of the form of the language. In addition, native signers, hearing and deaf, displayed extensive activation of homologous areas within the right hemisphere, indicating that the specific processing requirements of the language also in part determine the organization of the language systems of the brain.
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as retrieved by Bishop Hare ...
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"Spring 1991"--Cover.
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"In two parts."