D12-1046 can be obtained similarly using bidirectional decoding . 3 : dbi , 0 < i < l ,
P14-1139 * and y * . Unfortunately this bidirectional decoding model is NP-Hard ( a proof is
D09-1117 behind the forward , reverse and bidirectional decoding strategies used in our experiments
D09-1117 current word . For the case of bidirectional decoding , the model probability for the
D09-1117 performance of the reverse and bidirectional decoding strategies relative to the usual
D09-1117 are summarized in Table 3 . 4.2 Bidirectional Decoding Table 5 shows the performance
W09-3510 to tune the system , and that bidirectional decoding can improve performance . In
H05-1059 significantly more efficient than full bidirectional decoding . Instead of enumerating all
C02-1050 low frequency new words <title> Bidirectional Decoding for Statistical Machine Translation
C02-1050 favors right-to-left decoding . The bidirectional decoding , which can take both of the
H05-1059 1For dependency network and full bidirectional decoding , we conducted pruning because
D09-1117 contribution has been to show that a bidirectional decoding strategy is superior to both
D09-1117 Bidirectional The decoder used for the bidirectional decoding experiments was modified in order
C02-1050 quality of transla - tion . The bidirectional decoding is expected to take the bene
D09-1117 investigate the effectiveness of a bidirectional decoding strategy that integrates both
C02-1050 sentence . The second one is the bidirectional decoding method which decodes in both
D09-1117 In the current implementation , bidirectional decoding takes twice as long as a mono-directional
D09-1117 languages used for translation . Bidirectional decoding gave rise to an improvement in
C02-1050 In addition , presented is the bidirectional decoding method , that can take both of
C02-1050 3.3 Bidirectional Decoding The bidirectional decoding decode the input words in both
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