D10-1043 forest-based tree sequence to tree sequence translation . <title> Discriminative Instance
D10-1043 algorithm to extract tree-to-tree sequence translation rules from word aligned bilingual
J04-2003 the probability model for tag sequence translations . The word forms in C1 need not
D10-1043 into forest-based tree to tree sequence translation . Experimental results on the
P08-1064 from the two parse trees . A tree sequence translation rule r is a pair of aligned tree
J04-2003 sets Tf and Te . Using the tag sequence translation probabilities p ( tf | te ) ,
P11-1105 baseline methods . <title> A Joint Sequence Translation Model with Integrated Reordering
P06-1091 algorithm for a linearly-scored block sequence translation model . The key component is
J04-2003 For the time being , these tag sequence translation probabilities associate readings
J04-2003 basis of this alignment , the tag sequence translation probabilities which are needed
J04-2003 language and to compute the tag sequence translation probabilities p ( tf | te ) as
P08-1064 phrases translations . 3.2 Tree Sequence Translation Model Given the source and target
D10-1043 our forest-based tree-to-tree sequence translation decoding algorithm to not only
W03-1002 NP 's . Aligned English POS-tag Sequence Translation Probabilities ( conditioned on
P09-1103 sequence pair . A non-contiguous tree sequence translation rule r R can be further defined
P06-1091 this paper presents a novel block sequence translation approach to SMT that is similar
P08-1064 , the tree I sequence-to-tree sequence translation model is formulated as : Pr (
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