#25701Themodel is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis.
tech,6-6-A94-1007,ak
The
<term>
model
</term>
is based on a
<term>
balance matching operation
</term>
for two lists of the
<term>
feature
#25706The model is based on abalance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis.
other,14-6-A94-1007,ak
operation
</term>
for two lists of the
<term>
feature sets
</term>
, which provides four effects : the
#25714The model is based on a balance matching operation for two lists of thefeature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis.
other,25-6-A94-1007,ak
provides four effects : the reduction of
<term>
analysis cost
</term>
, the improvement of
<term>
word disambiguation
#25725The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction ofanalysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis.
tech,31-6-A94-1007,ak
analysis cost
</term>
, the improvement of
<term>
word disambiguation
</term>
, the
<term>
interpretation
</term>
of
#25731The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement ofword disambiguation, the interpretation of ellipses, and robust analysis.
other,35-6-A94-1007,ak
<term>
word disambiguation
</term>
, the
<term>
interpretation
</term>
of
<term>
ellipses
</term>
, and
<term>
#25735The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, theinterpretation of ellipses, and robust analysis.
other,37-6-A94-1007,ak
, the
<term>
interpretation
</term>
of
<term>
ellipses
</term>
, and
<term>
robust analysis
</term>
#25737The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation ofellipses, and robust analysis.
tech,40-6-A94-1007,ak
</term>
of
<term>
ellipses
</term>
, and
<term>
robust analysis
</term>
. This
<term>
model
</term>
was practically
#25740The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, androbust analysis.
model,1-7-A94-1007,ak
<term>
robust analysis
</term>
. This
<term>
model
</term>
was practically implemented and incorporated
#25744Thismodel was practically implemented and incorporated into the English-Japanese MT system, and provided about 75% accuracy in the practical translation use.
tech,9-7-A94-1007,ak
implemented and incorporated into the
<term>
English-Japanese MT system
</term>
, and provided about 75 %
<term>
accuracy
#25752This model was practically implemented and incorporated into theEnglish-Japanese MT system, and provided about 75% accuracy in the practical translation use.
measure(ment),18-7-A94-1007,ak
system
</term>
, and provided about 75 %
<term>
accuracy
</term>
in the practical translation use
#25761This model was practically implemented and incorporated into the English-Japanese MT system, and provided about 75%accuracy in the practical translation use.