In the last ten years there has been a significant amount ofresearch in Machine Translation
within a``new''paradigm ofempirical approaches, often labelled collectively as``Example …

In the last decade the dominant models of MT have been data-driven or corpus-based. Of
the two main trends, statistical machine translation and example-based machine translation …

In the last ten to fifteen years there has been a significant amount of research in Machine
Translation within a 'new'paradigm of empirical approaches, often labelled collectively as …

57 ABSTRACT A translation rule learning scheme for a machine translation using a
computer, in which an original sentence in a first language and a translated sentence in a …

In this paper, we describe a system and methods for finding structural correspondences from
the paired dependency structures of a source sentence and its translation in a target …

We have developed an example-based machine translation (EBMT) system that uses the
World Wide Web for two different purposes: First, we populate the system's memory with …

This paper proposes the use of``pattern-based''context-free grammars as a basis for building
machine translation (MT) systems, which are now being adopted as personal tools by a …

In this paper, we present an algorithm for the automatic extraction of translation patterns
between two (Indo-) European languages. These consist of possibly discontiguous text …

Abstract An approach to Example-Based Machine Translation is presented which operates
by extracting translation patterns from a bilingual corpus aligned at the level of the sentence …

Abstract An approach to Example-Based Machine Translation is presented which operates
by extracting translation patterns from a bilingual corpus aligned at the level of the sentence …