C02-1137 |
phase . In the phase of title
|
word selection
|
, each title word is scored based
|
C86-1120 |
the " conditional constraint on
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word selection
|
( Cw ) . " Mizutani 's rules
|
C65-1022 |
w applied to SWC 's . How this
|
word selection
|
should be done is the semantics
|
C00-2113 |
two examples show improvement in
|
word selection
|
. The transl ations of " map
|
C02-1137 |
word selection phase . The title
|
word selection
|
phase is responsible for coming
|
C00-2113 |
dictionary improved 571 in parsing and
|
word selection
|
. Figure 6 illustrates changes
|
A94-1017 |
structural disambiguation and target
|
word selection
|
. Thus , our model , TDMT on
|
A00-2017 |
application in NLP tasks is that of
|
word selection
|
in speech recognition ( Jelinek
|
C02-1137 |
ordering . * A problem with the title
|
word selection
|
phase . The title word selection
|
C02-1137 |
different approaches to the title
|
word selection
|
phase ( Jin & Hauptmann ,
|
C80-1064 |
translation . The comments will concern
|
word selection
|
problems , inter - action , and
|
C00-2113 |
confltsion caused by the wrong
|
word selection
|
. Wrong parsing and incomplete
|
A94-1017 |
structural disambiguation and target
|
word selection
|
. This paper will concentrate
|
C02-1137 |
two phases , namely the title
|
word selection
|
phase and the title word ordering
|
A94-1017 |
structural disambiguation or target
|
word selection
|
based on the semantic distance
|
C02-1137 |
with highest score in both title
|
word selection
|
phase and title word ordering
|
C02-1137 |
term P ( T ) , we make the title
|
word selection
|
phase concentrate on finding
|
C02-1137 |
ordering phase . The goal of title
|
word selection
|
phase is to find the appropriate
|
C00-2113 |
improved in parsing 104 improved in
|
word selection
|
467 about the same 160 The retrieved
|
C02-1050 |
accuracy for the tranlslation
|
word selection
|
. It has been also evaluated
|