model,10-4-P05-1034,ak We describe an efficient <term> decoder </term> and show that using these <term> tree-based models </term> in combination with conventional <term> SMT models </term> provides a promising approach that incorporates the power of <term> phrasal SMT </term> with the linguistic generality available in a <term> parser </term> .
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