source word 0.002536234
word matching 0.00251454
target word 0.002357011
word pairs 0.00228368
word pair 0.00219368
english word 0.002148321
translation lexicon 0.002053167
source words 0.001911184
decipherment model 0.001892667
different language 0.00188856
source lexicon 0.001886074
lexicon matching 0.00186438
combinatorial model 0.001808734
model seed 0.001784037
ment model 0.0017705619999999998
simplistic model 0.0017644989999999999
target words 0.001731961
different data 0.0017196099999999999
hebrew words 0.001710093
target lexicon 0.001706851
language pairs 0.0016981499999999998
hebrew lexicon 0.001684983
ugaritic words 0.001666671
ugaritic lexicon 0.001641561
data set 0.001623016
ing words 0.0016152
cognate matching 0.0015809700000000001
bilingual lexicon 0.001567345
model 0.00154931
ugaritic data 0.001537241
spanish lexicon 0.0015305849999999999
english words 0.001523271
lexicon level 0.001516365
english lexicon 0.001498161
semitic language 0.001457903
known language 0.001455956
lexicon accuracy 0.001455903
unknown language 0.0014524579999999998
first data 0.001447158
evaluation data 0.001433105
tion lexicon 0.0014313169999999999
hebrew cognate 0.0014015730000000001
lexicon match 0.001396118
matched words 0.00136974
lexicon induction 0.001366553
seed lexicon 0.0013641069999999998
cognate pairs 0.00135011
lexicon acc 0.001348674
distance function 0.001321567
data sets 0.001301425
phonetic cognate 0.00130046
romance data 0.001282248
europarl data 0.0012733089999999998
source character 0.001265089
cognate pair 0.00126011
partialromance data 0.001242714
roparl data 0.001239764
cognate lexicons 0.001225585
edit distance 0.0012218009999999998
same set 0.001205649
language 0.00119401
cognate mappings 0.001191987
matching problem 0.001190148
matching algorithm 0.001175774
source alphabet 0.001175526
cognate accuracy 0.0011724930000000001
target languages 0.001159626
correct cognate 0.001159317
words 0.00115449
alphabet matching 0.001153832
source lexicons 0.001136309
cognate precision 0.001130359
lexicon 0.00112938
matching optimization 0.00111583
cognate map 0.001111783
matching variable 0.001111632
different task 0.00110861
different way 0.001106491
matching variables 0.0011016659999999998
cognate dictio 0.001094062
cognate evolution 0.001090949
cognate identification 0.001087529
standard edit 0.001072772
cognate matchings 0.001072388
cognate detection 0.001071895
matching accuracy 0.001061523
cognate pairing 0.001060448
weighted matching 0.001051186
example matching 0.001045894
many alphabet 0.001037457
decipherment system 0.001035788
bipartite matching 0.001035572
gold matching 0.001024789
matching objective 0.001024003
matching indicator 0.001012336
explicit matching 0.001006863
target alphabet 9.96303E-4
following set 9.898049999999999E-4
past system 9.88314E-4
edit alignment 9.80281E-4
