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Using Parsed Corpora for Estimating Stochastic Inversion Transduction Grammars
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Using Parsed Corpora for Estimating Stochastic Inversion Transduction Grammars
An important problem when using Stochastic Inversion Transduction Grammars is their computational cost. More specifically, when dealing with corpora such as Europarl. only one iteration of the estimation algorithm becomes prohibitive. In this work, we apply a reduction of the cost by taking profit of the bracketing information in parsed corpora and show machine translation results obtained with a bracketed Europarl corpus, yielding interresting improvements when increasing the number of non-terminal symbols.
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