Proektirovanie perevodčeskih slovarej special'noj leksiki

The methodology of designing normative terminological products has been described in several guides and international standards. However, this methodology is not always applicable to designing translation-oriented terminological products which differ greatly from normative ones in terms of volume, function, and primary target group. This dissertation has three main goals. The first is to revise and enrich the stock of concepts and terms required in the process of designing an LSP dictionary for translators. The second is to detect, classify, and describe the factors which determine the characteristics of an LSP dictionary for translators and affect the process of its compilation. The third goal is to provide recommendations on different aspects of dictionary design. The study is based on an analysis of dictionaries, dictionary reviews, literature on translation-oriented lexicography, material from several dictionary projects, and the results of questionnaires. Thorough analysis of the concept of a dictionary helped us to compile a list of designable characteristics of a dictionary. These characteristics include target group, function, links to other resources, data carrier, list of lemmata, information about the lemmata, composition of other parts of the dictionary, compression of the data, structure of the data, and access structure. The factors which determine the characteristics of a dictionary have been divided into those derived from the needs of the intended users and those reflecting the restrictions of the real world (e.g. characteristics of the data carrier and organizational factors) and attitudes (e.g. traditions and scientific paradigms). The designer of a dictionary is recommended to take the intended users' needs as the starting point and aim at finding the best compromise between the conflicting factors. When designing an LSP dictionary, much depends on the level of knowledge of the intended users about the domain in question as well as their general linguistic competence, LSP competence, and lexicographic competence. This dissertation discusses the needs of LSP translators and the role of the dictionary in the process of translation of an LSP text. It also emphasizes the importance of planning lexicographic products and activities, and addresses many practical aspects of dictionary design.

Do Measurement Errors in GDP Announcements Cause Output Fluctuations?

This thesis studies empirically whether measurement errors in aggregate production statistics affect sentiment and future output. Initial announcements of aggregate production are subject to measurement error, because many of the data required to compile the statistics are produced with a lag. This measurement error can be gauged as the difference between the latest revised statistic and its initial announcement. Assuming aggregate production statistics help forecast future aggregate production, these measurement errors are expected to affect macroeconomic forecasts. Assuming agents’ macroeconomic forecasts affect their production choices, these measurement errors should affect future output through sentiment. This thesis is primarily empirical, so the theoretical basis, strategic complementarity, is discussed quite briefly. However, it is a model in which higher aggregate production increases each agent’s incentive to produce. In this circumstance a statistical announcement which suggests aggregate production is high would increase each agent’s incentive to produce, thus resulting in higher aggregate production. In this way the existence of strategic complementarity provides the theoretical basis for output fluctuations caused by measurement mistakes in aggregate production statistics. Previous empirical studies suggest that measurement errors in gross national product affect future aggregate production in the United States. Additionally it has been demonstrated that measurement errors in the Index of Leading Indicators affect forecasts by professional economists as well as future industrial production in the United States. This thesis aims to verify the applicability of these findings to other countries, as well as study the link between measurement errors in gross domestic product and sentiment. This thesis explores the relationship between measurement errors in gross domestic production and sentiment and future output. Professional forecasts and consumer sentiment in the United States and Finland, as well as producer sentiment in Finland, are used as the measures of sentiment. Using statistical techniques it is found that measurement errors in gross domestic product affect forecasts and producer sentiment. The effect on consumer sentiment is ambiguous. The relationship between measurement errors and future output is explored using data from Finland, United States, United Kingdom, New Zealand and Sweden. It is found that measurement errors have affected aggregate production or investment in Finland, United States, United Kingdom and Sweden. Specifically, it was found that overly optimistic statistics announcements are associated with higher output and vice versa.