Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the central knowledge of translation, and various kinds aml levels of knowledge are cooperatively applied to input sentences. TDMT effectively utilizes an example-based framework for transfer and analysis knowledge. A con...

The purpose of this study was to investigate the relationship between students‘ explicit knowledge in grammar and their translation ability. The importance of grammatical knowledge and its effectiveness in translation quality motivated the researcher to run this study and consider grammatical knowledge in Per- sian as the source language of Iranian students. It is clear that grammar is an area ...

background transferring research-based knowledge into practice would help to maximize the quality of health care. however, the role of knowledge producers and the organizational roles related to knowledge transfer have been largely ignored. objectives this study was accomplished with the aim of describing the organizational activities needed to transfer the findings of nursing research from the...

As a group of Health System Impact (HSI) postdoctoral fellows, Sim and colleagues offer their reflections on ‘driving change’ within the health system and present a framework for understanding the HSI fellow as an embedded researcher. Our commentary offers a different perspective of the fellow’s role by highlighting the integrated knowledge translation (IKT) approach we...

BACKGROUND Researcher-stakeholder collaboration has been identified as critical to bridging research and health system change. While collaboration models vary, meaningful stakeholder involvement over time ("integrated knowledge translation") is advocated to improve the relevance of research to knowledge users. This short report describes the integrated knowledge translation efforts of Connectio...