Extending MARIE: an N-gram-based SMT decoder

Authors:
Josep M. Crego;José B. Mariño
Affiliations:
Universitat Politècnica de Catalunya, Barcelona;Universitat Politècnica de Catalunya, Barcelona
Venue:
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Year:
2007

Citing 1
Cited 2

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Abstract

In this paper we present several extensions of MARIE, a freely available N-gram-based statistical machine translation (SMT) decoder. The extensions mainly consist of the ability to accept and generate word graphs and the introduction of two new N-gram models in the loglinear combination of feature functions the decoder implements. Additionally, the decoder is enhanced with a caching strategy that reduces the number of N-gram calls improving the overall search efficiency. Experiments are carried out over the Eurpoean Parliament Spanish-English translation task.