It is common knowledge that translation is an ambiguous, 1-to-n mapping process, but to date, our community has produced no empirical estimates of this ambiguity. We have developed an annotation tool that enables us to create representations that compactly encode an exponential number of correct translations for a sentence. Our findings show that naturally occurring sentences have billions of t...

In the pharmaceutical industry, products have to be described by a range of document types with overlapping content. Moreover, much of this documentation has to be produced in many languages. This situation is commonplace in many commercial domains, and leads to well-known problems in maintaining a set of related documents and their translations. We describe a potential solution explored in the...

This paper reports an ongoing work in applying Common Sense knowledge to Machine Translation aiming at generating more culturally contextualized translations. Common Sense can be defined as the knowledge shared by a group of people in a given time, space and culture; and this knowledge, here, is represented by a semantic network called ConceptNet. Machine Translation, in turn, is the automatic ...

Sociologists have increasingly come to recognize that the discipline has unduly privileged textual representations, but efforts to incorporate visual and other media are still only in their beginning. This paper develops an analysis of the ways objects of knowledge are translated into other media, in order to understand the visual practices of sociology and to point out unused possibilities. I ...

In this paper we describe how we applied a generalpurpose machine translation tool for translating biomedical thesauri. We used corresponding terms in parallel corpora to check the validity of the translations. The advantage of this approach is that a single corresponding set of terms can be verified where techniques to retrieve translations from a parallel corpus do not exploit the knowledge c...

Bilingual machine-readable dictionaries are knowledge resources useful in many automatic tasks. However, compared to monolingual computational lexicons like WordNet, bilingual dictionaries typically provide a lower amount of structured information such as lexical and semantic relations, and often do not cover the entire range of possible translations for a word of interest. In this paper we pre...