W03-2002 |
different viewpoints , using the
|
map algorithm
|
described in section 2 . Before
|
H91-1053 |
adaptation data using the segmental
|
MAP algorithm
|
. The SI models are used to initialize
|
H93-1019 |
are obtained with the segmental
|
MAP algorithm
|
\ -LSB- 16 , 9 , 10 \ -RSB- using
|
W15-0807 |
mapping . The input of our mention -
|
mapping algorithm
|
is the pairwise scores between
|
H91-1053 |
state . The following segmental
|
MAP algorithm
|
originally proposed in \ -LSB-
|
H91-1053 |
-LSB- 131 we used the segmental
|
MAP algorithm
|
to evaluate the HMM parameters
|
H93-1019 |
initial estimate for the segmental
|
MAP algorithm
|
. This approach provides a way
|
P93-1003 |
possible correspondences . THE
|
MAPPING ALGORITHM
|
Some terminology is necessary
|
W94-0102 |
model . We are developing a set of
|
mapping algorithms
|
to map between the main tagsets
|
W94-0102 |
algorithm to be induced . 3 . Apply
|
mapping algorithm
|
to the parsed SEC ; incrementally
|
W02-0210 |
utilizing the Self-Organizing
|
Map algorithm
|
( Kohonen , 1995 ) . The document
|
H94-1067 |
variations are shown in Table 4 . when
|
mapping algorithm
|
is used in different ways . The
|
H91-1053 |
approximately satisfied . Segmental
|
MAP algorithm
|
The above procedure to evaluate
|
J06-3008 |
algorithms . These two classes of
|
mapping algorithms
|
and the ranking of semantic roles
|
H91-1053 |
adaptation data using a segmental
|
MAP algorithm
|
which uses the Viterbi algorithm
|
W94-0102 |
on how much time is available ,
|
mapping algorithms
|
for more detailed grammar schemes
|
D14-1031 |
most of the simulations the local
|
MAP algorithm
|
performs as well as the two other
|
H92-1036 |
If we use the forward-backward
|
MAP algorithm
|
we obtain a corrective training
|
P14-1056 |
equation ( 1 ) , for which we have a
|
MAP algorithm
|
, but where we have imposed some
|
W94-0102 |
mappings will be imperfect . As
|
mapping algorithms
|
are developed and tested , and
|