DIGITAL TECHNOLOGIES FOR COGNITIVE LINGUISTICS STUDIES IN MAGISTRACY

The field of higher education in Russia is undergoing significant changes that require reviewing past practices and professional activities. This article aims to study the potential of using modern digital technologies in linguistic experiments in cognitive linguistics regarding writing master’s degree theses.The analysis of recent cognitive studies has shown that the area for this research is diverse and includes investigating aspects of cognitive semantics, translation techniques, concordance, phrase variability, and others.  Research results show that cognitive science widely uses empirical data received through digital technologies such as Google. This digital tool can be accessible and suitable for linguistic experiments and the author demonstrates its application.The paper presents a model of the linguistic experiment on studying the variability of the structure of a conceptual binominal phrase in Russian and English. According to the obtained results, Russian users of the Internet feature a higher tendency for changing the order the binomial concepts than the English-speaking ones. These data provide language material for conclusions and further considerations from a cognitive perspective. The framework of this experiment can be a motivating factor for those who want to master their research and language skills in the magistracy.

Croatian Learners of English as a Second Language and English Phrasal Verbs

This thesis deals with the general belief shared by all students that phrasal verbs are hard to learn, because of various reasons: there are so many of them, they make no sense, their meanings are never straightforward, etc. In this thesis the focus is on the definitions of phrasal verbs, numerous studies on the most adequate and easiest way to master phrasal verbs, the frequency of occurrence of phrasal verbs and finally, on an original research conducted for the purposes of this thesis. The main hypothesis is that the learners of English understand phrasal verbs better when they occur within context than outside of it regardless of their proficiency level, because many authors propose that kind of learning as highly efficient. However, the findings of the research conducted for the purposes of this study do not support this hypothesis. The results indicate that phrasal verbs are slightly better understood when they occur within context, but the difference in the percentage is so small that it can easily be neglected

Alexandria: Extensible Framework for Rapid Exploration of Social Media

The Alexandria system under development at IBM Research provides an extensible framework and platform for supporting a variety of big-data analytics and visualizations. The system is currently focused on enabling rapid exploration of text-based social media data. The system provides tools to help with constructing "domain models" (i.e., families of keywords and extractors to enable focus on tweets and other social media documents relevant to a project), to rapidly extract and segment the relevant social media and its authors, to apply further analytics (such as finding trends and anomalous terms), and visualizing the results. The system architecture is centered around a variety of REST-based service APIs to enable flexible orchestration of the system capabilities; these are especially useful to support knowledge-worker driven iterative exploration of social phenomena. The architecture also enables rapid integration of Alexandria capabilities with other social media analytics system, as has been demonstrated through an integration with IBM Research's SystemG. This paper describes a prototypical usage scenario for Alexandria, along with the architecture and key underlying analytics.Comment: 8 page

Document Retrieval, Automatic

Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request by comparing their request to an automatically produced index of the documents in the system. Everyone uses such systems today in the form of web-based search engines. While evolving from a fairly small discipline in the 1940s, to a large, profitable industry today, the field has maintained a healthy research focus, supported by test collections and large-scale annual comparative tests of systems. A document retrieval system is comprised of three core modules: document processor, query analyzer, and matching function. There are several theoretical models on which document retrieval systems are based: Boolean, Vector Space, Probabilistic, and Language Model