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