Building probabilistic models for natural language
Building probabilistic models for natural language
Review Article: Example-based Machine Translation
Machine Translation
Three heads are better than one
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
From COGRAM to ALCOGRAM: toward a controlled English grammar checker
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Recent Advances in Example-Based Machine Translation
Computational Linguistics
Example-based machine translation using DP-matching between word sequences
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Computational Linguistics - Special issue on web as corpus
Language resources and localisation
LRTWRT '04 Proceedings of the Second International Workshop on Language Resources for Translation Work, Research and Training
Agent metaphor for machine translation mediated communication
Proceedings of the 2013 international conference on Intelligent user interfaces
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In this paper we present a model for the future use of Machine Translation (MT) and Computer Assisted Translation. In order to accommodate the future needs in middle value translations, we discuss a number of MT techniques and architectures. We anticipate a hybrid environment that integrates data- and rule-driven approaches where translations will be routed through the available translation options and consumers will receive accurate information on the quality, pricing and time implications of their translation choice.