W03-0305 |
are automatically detected by a
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bilingual clustering
|
algorithm . The translation table
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P13-2136 |
monolingual ( left ) & proposed
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bilingual clustering
|
problem ( right ) . We call this
|
W99-0604 |
automatically trained using the described
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bilingual clustering
|
method . For each of the two
|
P06-1122 |
assumptions . Previous work on
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bilingual clustering
|
has focused on coarse partitions
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P06-1122 |
of the previous solution to the
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bilingual clustering
|
procedure . EM parameter estimation
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W05-0804 |
eigen vectors are good enough for
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bilingual clustering
|
in terms of efficiency and ef
|
E99-1010 |
We demonstrate results of our
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bilingual clustering
|
method for two different bilingual
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P13-2136 |
all the experiments . We run our
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bilingual clustering
|
model ( 6 = 0.1 ) across all
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P15-1165 |
om et al. ( 2013 ) presented a
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bilingual clustering
|
algorithm and used the word clusters
|
P11-2083 |
agglomerative clustering method . 2.2.1
|
Bilingual Clustering
|
Algorithm The overall process
|
W05-0804 |
Average 2-mirror for the two-step
|
bilingual clustering
|
algorithm is 3.97 , and for spectral
|
P13-2136 |
monolingual German word clusters .
|
Bilingual Clustering
|
: While we have formulated a
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P13-2136 |
given threshold before running the
|
bilingual clustering
|
model . We vary e from 0.1 to
|
P13-2136 |
assumed that 0 log x = 0 . Our
|
bilingual clustering
|
objective can therefore be stated
|