Grammatical inference for syntax-based statistical machine translation

Authors:
Menno van Zaanen;Jeroen Geertzen
Affiliations:
Division of Information and Communication Sciences, Department of Computing, Macquarie University, Sydney, NSW, Australia;Language and Information Science, Tilburg University, Tilburg, The Netherlands
Venue:
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Year:
2006

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Abstract

In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.