90 resultados para 200311 Chinese Languages


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This volume focuses on word formation processes in smaller and so far underrepresented indigenous languages of South America. The data for the analyses have been mainly collected in the field by the authors. The several language families described here, among them Arawakan, Takanan, and Guaycuruan, as well as language isolates, such as Yurakaré and Cholón, reflect the linguistic diversity of South America. Equally diverse are the topics addressed, relating to word formation processes like reduplication, nominal and verbal compounding, clitic compounding, and incorporation. The traditional notions of the processes are discussed critically with respect to their implementation in minor indigenous languages. The book is therefore not only of interest to readers with an Amerindian background but also to typologists and historical linguists, and it is a supplement to more theory-driven approaches to language and linguistics.

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Research suggests that perceiving a calling towards a particular career is relatively frequent among college students in Western cultures. However, little is known about how this applies to other cultural contexts. This study assessed the perception of career as a calling in the Chinese culture. Study 1 reports the development of the Chinese Calling Scale (CCS), based on a sample of 788 Chinese college students, and identifies three dimensions of a calling: Altruism, Guiding Force, and Meaning and Purpose. Measurement invariance across gender is supported by the CCS. In Study 2, the convergent and criterion validity of the CSS is examined based on a sample of 387 college students. The CCS is strongly related to an existing calling measure and moderately related to life meaning and life satisfaction. Study 3 examines the relation between calling, hope, life meaning, life satisfaction, and career decidedness among 518 college students. The findings reveal that hope significantly mediated the relation of calling with career decidedness, life meaning, and life satisfaction. In summary, this study provides a new scale to assess calling in Chinese culture and is the first to explore how calling relates to dispositional hope.

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During winter 2013, extremely high concentrations (i.e., 4–20 times higher than the World Health Organization guideline) of PM2.5 (particulate matter with an aerodynamic diameter < 2.5 μm) mass concentrations (24 h samples) were found in four major cities in China including Xi'an, Beijing, Shanghai and Guangzhou. Statistical analysis of a combined data set from elemental carbon (EC), organic carbon (OC), 14C and biomass-burning marker measurements using Latin hypercube sampling allowed a quantitative source apportionment of carbonaceous aerosols. Based on 14C measurements of EC fractions (six samples each city), we found that fossil emissions from coal combustion and vehicle exhaust dominated EC with a mean contribution of 75 ± 8% across all sites. The remaining 25 ± 8% was exclusively attributed to biomass combustion, consistent with the measurements of biomass-burning markers such as anhydrosugars (levoglucosan and mannosan) and water-soluble potassium (K+). With a combination of the levoglucosan-to-mannosan and levoglucosan-to-K+ ratios, the major source of biomass burning in winter in China is suggested to be combustion of crop residues. The contribution of fossil sources to OC was highest in Beijing (58 ± 5%) and decreased from Shanghai (49 ± 2%) to Xi'an (38 ± 3%) and Guangzhou (35 ± 7%). Generally, a larger fraction of fossil OC was from secondary origins than primary sources for all sites. Non-fossil sources accounted on average for 55 ± 10 and 48 ± 9% of OC and total carbon (TC), respectively, which suggests that non-fossil emissions were very important contributors of urban carbonaceous aerosols in China. The primary biomass-burning emissions accounted for 40 ± 8, 48 ± 18, 53 ± 4 and 65 ± 26% of non-fossil OC for Xi'an, Beijing, Shanghai and Guangzhou, respectively. Other non-fossil sources excluding primary biomass burning were mainly attributed to formation of secondary organic carbon (SOC) from non-fossil precursors such as biomass-burning emissions. For each site, we also compared samples from moderately to heavily polluted days according to particulate matter mass. Despite a significant increase of the absolute mass concentrations of primary emissions from both fossil and non-fossil sources during the heavily polluted events, their relative contribution to TC was even decreased, whereas the portion of SOC was consistently increased at all sites. This observation indicates that SOC was an important fraction in the increment of carbonaceous aerosols during the haze episode in China.

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In this paper we introduce a class of descriptors for regular languages arising from an application of the Stone duality between finite Boolean algebras and finite sets. These descriptors, called classical fortresses, are object specified in classical propositional logic and capable to accept exactly regular languages. To prove this, we show that the languages accepted by classical fortresses and deterministic finite automata coincide. Classical fortresses, besides being propositional descriptors for regular languages, also turn out to be an efficient tool for providing alternative and intuitive proofs for the closure properties of regular languages.

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Dynamically typed languages lack information about the types of variables in the source code. Developers care about this information as it supports program comprehension. Ba- sic type inference techniques are helpful, but may yield many false positives or negatives. We propose to mine information from the software ecosys- tem on how frequently given types are inferred unambigu- ously to improve the quality of type inference for a single system. This paper presents an approach to augment existing type inference techniques by supplementing the informa- tion available in the source code of a project with data from other projects written in the same language. For all available projects, we track how often messages are sent to instance variables throughout the source code. Predictions for the type of a variable are made based on the messages sent to it. The evaluation of a proof-of-concept prototype shows that this approach works well for types that are sufficiently popular, like those from the standard librarie, and tends to create false positives for unpopular or domain specific types. The false positives are, in most cases, fairly easily identifiable. Also, the evaluation data shows a substantial increase in the number of correctly inferred types when compared to the non-augmented type inference.

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Previous research has demonstrated that adults are successful at visually tracking rigidly moving items, but experience great difficulties when tracking substance-like ‘‘pouring’’ items. Using a comparative approach, we investigated whether the presence/absence of the grammatical count–mass distinction influences adults and children’s ability to attentively track objects versus substances. More specifically, we aimed to explore whether the higher success at tracking rigid over substance-like items appears universally or whether speakers of classifier languages (like Japanese, not marking the object–substance distinction) are advantaged at tracking substances as compared to speakers of non-classifier languages (like Swiss German, marking the object–substance distinction). Our results supported the idea that language has no effect on low-level cognitive processes such as the attentive visual processing of objects and substances. We concluded arguing that the tendency to prioritize objects is universal and independent of specific characteristics of the language spoken.

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The Tibeto-Burman linguistic phylum was identified in 1823. However, the term “Tibeto-Burman” was later used with two different mean- ings, one by scholars following Klaproth’s polyphyletic framework and another by scholars operating within the Indo-Chinese paradigm. Yet the enduring failure of Sino-Tibetanists to produce any evidence for the Indo-Chinese phylogenetic model compels us to conclude that there is no such language family as Sino-Tibetan. Instead, Tibetan forms part of the Trans-Himalayan linguistic phylum, or Tibeto-Burman in Klaproth’s sense. Robert Shafer coined the terms “Bodic” and “Bodish” for subgroups including Tibetan and languages with varying degrees of linguistic propin- quity to Tibetan, and Nicolas Tournadre has also recently coined the term “Tibetic.” What are Tibetic, Bodish, and Bodic? Which languages are the closest relatives of Tibetan? What do we know about the structure of the Trans-Himalayan linguistic phylum as a whole? Based on the phylogeny of the language family, which inferences can be made about the ethnolinguis- tic prehistory of the Tibetan Plateau and surrounding regions?