A Full-Text Experiment in Example-Based Machine Translation

This paper describes an experiment in examplebased machine translation (EBMT) on full text. The unit of translation is a text chunk of arbitrary length, in contrast to sentence-level EBMT experiments. Intra- and inter-language matching techniques and metrics used in the experiment are described. Keywords: Example-based MT, Corpus-based NLP Introduction The growth rate of theoretical studies of language structure and use stubbornly remains higher than the improvement rate of large-scale applications. It has been repeatedly proved that large-scale realistic NLP applications carry a prohibitive price tag of large-scale, routine acquisition of knowledge about language and about the world, collected in computational grammars, lexicons and domain models. Strategically, there are several ways of dealing with this problem: ffl biting the bullet and going through a massive knowledge acquisition effort, either generalpurpose (e.g., the CYC project, Lenat et al., 1990) or domain-specific (e.g...