After years of development of corpus technologies, it has become obvious that translators can benefit directly from the achievements of this field. However, it seems that corpus advancement has not been deployed accordingly by translators to aid their translation. As a corpus linguist and translator myself, I believe that when corpus technologies are made attractive and simple enough and when t...

setting standards for translation assessment has usually been problematic for authorities, theoreticians, and most commonly instructors. it is often difficult to tell the difference between translation evaluation, criticism, and assessment due to hardships of bridging the gap between theory and practice. the aim of this study was to create a rubric against which translations could be assessed. ...

Machine translation of patent documents is very important from a practical point of view. One of the key technologies for improving machine translation quality is the utilization of syntax. It is difficult to select the appropriate parser for English to Japanese patent machine translation because the effects of each parser on patent translation are not clear. This paper provides an empirical co...

Language occupies a central role on the web: most content is expressed in a given language, and most access takes place via natural language input and interfaces. Today, investigation of human language in all its forms depends on access to this vast store of language data. In particular, linguists and language technologists annotate and analyze this data and develop new language resources inclu...

The System, Component and Operationally Relevant Evaluation (SCORE) Framework has been developed at the National Institute of Standards and Technology over the past 3 years to provide formative evaluations of advanced military technologies. SCORE is a unified set of criteria and software tools for defining a performance evaluation approach for complex intelligent systems. To date, SCORE has bee...

This paper reports on the evaluation activities conducted in the first year of the TC-STAR project. The TC-STAR project, financed by the European Commission within the Sixth Framework Program, is envisaged as a long-term effort to advance research in the core technologies of Speech-to-Speech Translation (SST). SST technology is a combination of Automatic Speech Recognition (ASR), Spoken Languag...

Recent development in cognitive neuroscience and brain imaging technologies provides us with a increasing ability to a new multidisciplinary research, brain machine interactions (BMIs). In this paper, the critical technologies used in BMIs, such as bio-sensor, translation algorithms, and the major applications are discussed. By providing an overview of these aspects, we can see how advanced tec...

The current (2007-2007) structure and content of dental materials research has been investigated by identifying and describing the emergent research fronts which can be related to basic, translational and clinical observation research. By a combination of network analysis and text mining of the literature on dental materials indexed in the Web of Science, we have identified eleven emerging rese...

Second language learning is a compelling activity in today’s global markets. This thesis focuses on critical technology necessary to produce a computer spoken translation game for learning Mandarin Chinese in a relatively broad travel domain. Three main aspects are addressed: efficient Chinese parsing, high-quality English-Chinese machine translation, and how these technologies can be integrate...

The limited regenerative capacity of articular cartilage and deficiencies of current treatments have motivated the investigation of new repair technologies. In vitro cartilage generation using primary cell sources is limited by cell availability and expansion potential. Pluripotent stem cells possess the capacity for chondrocytic differentiation and extended expansion, providing a potential fut...