Stochastic K-TSS bi-languages for machine translation

Authors:
M. Inés Torres;Francisco Casacuberta
Affiliations:
Universidad del País Vasco Bilbao, Spain;Universidad Politécnica de Valencia Valencia, Spain
Venue:
FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
Year:
2011

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Abstract

One of the approaches to statistical machine translation is based on joint probability distributions over some source and target languages. In this work we propose to model the joint probability distribution by stochastic regular bi-languages. Specifically we introduce the stochastic k-testable in the strict sense bi-languages to represent the joint probability distribution of source and target languages. With this basis we present a reformulation of the GIATI methodology to infer stochastic regular bi-languages for machine translation purposes.