We maintain that the essential feature that characterizes a Machine Translation approach and sets it apart from other approaches is the kind of knowledge it uses. From this perspective, we argue that Example-Based Machine Translation is sometimes characterized in terms of inessential features. We show that Example-Based Machine Translation, as long as it is linguistically principled, significan...

We propose a strongly lexicalist treatment of translation equivalence where mismatches due to diverging lexicalization patterns are dealt with by means of translation links which capture crosslinguistic generalizations across sets of semantically related lexical items. We show how this treatment can be developed within a unification-based, multilingual lexical knowledge base which is integrated...

BACKGROUND Despite the increasing investment in health-related research in Sub-Saharan Africa, a large gulf remains between what is known and what is practiced in health systems. Knowledge translation programs aim to ensure that a wide range of stakeholders are aware of and use research evidence to inform their health and health-care decision-making. The purpose of this study is to provide insi...