Toward memory-based translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Example-Based Machine Translation in the Pangloss system
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Recent Research in the Field of Example-Based Machine Translation
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Towards a unified approach to memory- and statistical-based machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Translation with cascaded finite state transducers
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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Translation memories are promising devices for automatic translation. Their main weakness, however, is poor coverage on unseen text. In this paper, the use of a hierarchical translation memory, consisting of a cascade of finite state transducers, is proposed. A number of transducers is applied to convert sentence pairs from a bilingual corpus into translation patterns, which are then used as a translation memory. Preliminary results on the German English VERBMOBIL corpus are given.