In the development of a machine translation system, one important issue is being able to
adapt to a specific domain without requiring timeconsuming lexical work. We have …

Example-based machine translation systems use a large set of translation patterns. It is a
time-consuming task to generate these translation patterns manually. Therefore, extracting …

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 …

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 …

This paper describes two approaches to matching input strings with strings from a translation
archive in the example-based machine translation paradigm-the more canonical" chunking+ …

This paper discusses practical MT systems, particularly the Dutch-English system developed
by the author's own company. For the purposes of this paper, a practical MT system is one …

Abstract Machine translation systems, whether rule-based, example-based, or statistical, all
rely on dictionaries that are in essence mappings between individual words of the source …

In this article the principles of the METIS Machine Translation system are presented. METIS
employs an extensive tagged and lemmatised corpus of texts in the target language …

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

This paper describes a method for retrieving patterns of words and expressions frequently
used in a speci c domain and building a dictionary for machine translation (MT). The method …