Distributional semantics embodies the idea that the context in which a word occurs reveals the meaning of that word. In contemporary corpus linguistics, that idea takes shape in various types of ...quantitative context analysis. This monograph explores how count-based token-level semantic vector spaces, as an advanced form of such a quantitative methodology, can be applied to the study of polysemy, lexical variation, and lectometry. What can distributional models reveal about meaning? How can they be used to analyse the semantic relationship between near-synonyms? And how can they contribute to the study of lexical variation as a sociolinguistic variable? The book details the conceptual background of lexical semantic and lexical variation research, explains the mechanism of distributional modelling, and introduces distributional workflows and corpus linguistic tools to answer the questions. Combining a cognitive linguistic interest in meaning with a sociolinguistic interest in variation, it illustrates that distributional methodology with case studies on Dutch and Spanish lexical data, focusing on the value of distributional models for semantic analysis, the interaction of semasiological and onomasiological change, and sociolinguistic issues of lexical standardization and pluricentricity.
It is known, the phenomenon of intensification, first of all, is manifested in direct connection with the thing in existence, the movement of events, the state. For example, the blowing of the wind ...and its transformation into a storm and a flood; heavy rain, i.e. torrent, hail; temperature cooling, heating, heating; such as slow, steady, fast movement of vehicles. It can also be felt in such cases as the intensive development of agriculture and production, the intensive course of teaching a certain subject. In this article the author analizes the relationship of the semantics of intensification to related categories such as: gradation, expressiveness, emotionality, assessment, imagery and emphasis and tries to show their allomorph and isomorph features. Keywords: intensification, gradation, expressiveness, emotionality, assessment, imagery, emphasis, allomorph and isomorph features
Hardware software cooperation is one of the effective methods for the design of mixed criticality system, which realize resource isolation by necessary hardware semantics, and ensure that different ...critical tasks meet time constraints based on efficient thread scheduling. Based on a fine-grained multithreaded processor FlexPRET, this paper designs and implements some temporal instruction extensions, and realizes relevant supports in the processor and compiler respectively, so that the program can describe the timing constraint semantics of the worst-case execution time. Experiments show that the extended instructions can provide users with more accurate timing control.
In the past, information deliveries in technical communication were often considered as a normative duty, but has now grown into a knowledge-bearing and knowledge-transmitting medium by more modern ...approaches of dynamic content delivery. As described in a previous publication 1 implementing and working with semantic correlation rules and knowledge graphs enhances, for example, the contextual understanding of information and the technology of content delivery. The use of various established media technologies, which are explained in detail in this paper, prevents risks such as unclear information management and a lack of transparency. Companies must ensure that necessary information is provided in a simple and targeted manner where it is needed. Therefore, using an efficient system which provides detailed information about products, processes or services, a company is able to create, manage and deliver a high amount of information in a professional way. In an era where efficiency, innovation and speed set the tone, technologies have been developed on the market for creating and delivering content. In this paper we will moreover describe the possible interplay of recent IT architectures, non-linear DynaRules of semantic models and AI extensions to enable metadata-linked content effectively with reduced fuzziness according to the regarded context of intelligent content delivery and information services.