C04-1138 |
examples . The outcome of the
|
mapping process
|
is a ranked list of the 100 most
|
E91-1022 |
flies from " the origin . The
|
mapping process
|
exploits a " domain model " which
|
E91-1020 |
possible syntactic counterparts . The
|
mapping process
|
is driven by the semantic input
|
D13-1027 |
Section 3.1 and Figure 2 , and the
|
mapping process
|
is described in Section 3.2 and
|
H93-1041 |
act . So the first task in the
|
mapping process
|
is to match each sentence with
|
N10-1010 |
before applying HAC . Note that the
|
mapping process
|
might map more than one induced
|
C92-2081 |
Partially Specified Entry The
|
mapping process
|
from LDOCE to ULTRA word sense
|
H86-1008 |
variants , without making the
|
mapping process
|
excessively complex , is clearly
|
C04-1138 |
additionally uses the results of a
|
mapping process
|
onto a multilingual classification
|
C02-2014 |
thanks to the separate symbol
|
mapping process
|
and the open architecture . However
|
H01-1003 |
decoding of a given input a34 , the
|
mapping process
|
requires a classification as
|
C94-1009 |
effectiveness of the st , eceeding unit
|
mapping process
|
. For exa , n - pie , if we set
|
J97-2001 |
and thus guide the structural
|
mapping process
|
from the conceptual network to
|
N10-1010 |
issue negatively affects both the
|
mapping process
|
and HAC . For example in the
|
P05-1047 |
similarity calculations . This
|
mapping process
|
is not particularly time-consuming
|
N07-1025 |
inventory . corpus is created . This
|
mapping process
|
is very fast , as a relatively
|
C88-1036 |
source initiates and directs the
|
mapping process
|
, the target has a complex system
|
C94-1009 |
ping of Uniis Next , the unit
|
mapping process
|
creates a conesponding unit table
|
C04-1138 |
names and ( c ) the results of a
|
mapping process
|
onto a multilingual classification
|
D13-1180 |
to 6 in a 6 point scale . The
|
mapping process
|
is as follows . To begin with
|