translation rule 0.00451649
translation rules 0.00405773
tree forest 0.0036870699999999998
tree nodes 0.0035705800000000003
parse tree 0.002991282
rule set 0.002983708
same tree 0.002960443
different rule 0.002952957
translation results 0.002893918
tree fragment 0.002870134
english translation 0.002862976
tree models 0.002849593
translation systems 0.0028025710000000002
example translation 0.0027830100000000003
rule extraction 0.002764817
side tree 0.002755392
translation length 0.0027545210000000002
machine translation 0.002730862
rule probabilities 0.0027166530000000003
minimal rule 0.002714615
tree fragments 0.002692979
promising translation 0.002653412
translation quality 0.002628524
tree frag 0.002603802
tree bina 0.002595035
rule composition 0.0025373690000000003
rule extrac 0.002519756
rule extractor 0.002516125
many rules 0.002512999
new rules 0.002385006
translation 0.00228822
minimal rules 0.002255855
tion rules 0.002188638
frontier node 0.002132806
lation rules 0.002108026
extra rules 0.002064943
parse forest 0.002064052
tracts rules 0.002057677
root node 0.001950083
forest extraction 0.0019164669999999998
single forest 0.0018938219999999999
frontier nodes 0.001868056
rules 0.00176951
packed forest 0.001753349
source word 0.0017102419999999998
forest concept 0.001668021
ial forest 0.001668021
forest informally 0.001668021
shaded nodes 0.0016455880000000001
leaf nodes 0.00159825
admissible nodes 0.00158151
internal nodes 0.001580039
source target 0.001570048
sibling nodes 0.0015698770000000001
target word 0.001563902
nodes yield 0.001559552
descendant nodes 0.001559174
model probabilities 0.001559023
tail nodes 0.001553582
shadowed nodes 0.001552282
source span 0.001494711
extraction algorithm 0.0014403329999999998
various pruning 0.001431907
many parse 0.001427621
english word 0.001426804
trigram model 0.0014150540000000002
pruning threshold 0.001409019
many trees 0.001390053
forest 0.00137992
guage model 0.0013708600000000002
target sentence 0.00135937
target span 0.0013483710000000001
source words 0.0013432399999999999
target string 0.001332861
parse trees 0.001330696
tion decoding 0.001324421
target language 0.001324268
source side 0.001306436
pruning thresholds 0.001285309
chinese sentence 0.0012746390000000002
word yuˇ 0.001272018
nodes 0.00126343
small data 0.001261419
outside algorithm 0.001237805
word order 0.001236562
language string 0.0012334210000000002
shades algorithm 0.0012236579999999999
english sentence 0.001222272
system hiero 0.001213261
parse forests 0.001211447
english span 0.0012112730000000001
sentence pairs 0.0012107630000000001
single parse 0.001198034
large data 0.001197287
system current 0.001197194
target words 0.0011969
english string 0.001195763
decoding phases 0.0011946840000000001
decoding columns 0.0011946840000000001
multiple parse 0.001187175
