Integrating Machine Translation into Translator Training: Towards ‘Human Translator Competence’?

Technology-Enhanced Translator Training

The aim of the paper is to present an Open Source Learning Management System for creating courses in translation theory and practice. Some of its most important characteristics are: • Choice of course formats such as by week, by topic or social format • Flexible array of course activities Forums, Journals, Quizzes, Resources, Choices, Surveys, Assignments • Full user logging and tracking activi...

Translation Technology and the Translator

An Approach to Example-Based Machine Translator using Translation Memory

This paper presents example-based machine translation architecture using translation memory that integrates the use of examples for flexible, idiomatic translations with the use of linguistic rules for broad coverage and grammatical accuracy. In examplebased machine translation (EBMT) approach to machine translation is often characterized by its use of a bilingual corpus with parallel texts as ...

Taking Statistical Machine Translation to the Student Translator

Despite the growth of statistical machine translation (SMT) research and development in recent years, it remains somewhat out of reach for the translation community where programming expertise and knowledge of statistics tend not to be commonplace. While the concept of SMT is relatively straightforward, its implementation in functioning systems remains difficult for most, regardless of expertis...

Machine Translation vs. Translator Aids: A False Dichotomy

Advances in Computers The past 30 years have been a period of rapid development for computers and their uses. In computer hardware, we have seen a progression from vacuum tubes to transistors to integrated circuits to microprocessors. In computer uses, we have seen an expansion beyond military and business applications that includes computeraided design and manufacturing, bibliographic data ret...