#1284Our algorithm reported more than 99%accuracy in both language identification and key prediction.
tech,13-3-H01-1070,ak
<term>
language identification
</term>
and
<term>
key prediction
</term>
.
<term>
Sentence planning
</term>
is
#1290Our algorithm reported more than 99% accuracy in both language identification andkey prediction.
model,10-1-H01-1070,ak
employing
<term>
n-gram models
</term>
and
<term>
error-correction rules
</term>
for
<term>
Thai key prediction
</term>
#1251This paper proposes a practical approach employing n-gram models anderror-correction rules for Thai key prediction and Thai-English language identification.
tech,17-1-H01-1070,ak
<term>
Thai key prediction
</term>
and
<term>
Thai-English language identification
</term>
. The paper also proposes
<term>
rule-reduction
#1258This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction andThai-English language identification.
measure(ment),7-2-H01-1070,ak
rule-reduction algorithm
</term>
applying
<term>
mutual information
</term>
to reduce the
<term>
error-correction
#1269The paper also proposes rule-reduction algorithm applyingmutual information to reduce the error-correction rules.
tech,10-3-H01-1070,ak
than 99 %
<term>
accuracy
</term>
in both
<term>
language identification
</term>
and
<term>
key prediction
</term>
.
<term>
#1287Our algorithm reported more than 99% accuracy in bothlanguage identification and key prediction.
model,7-1-H01-1070,ak
proposes a practical approach employing
<term>
n-gram models
</term>
and
<term>
error-correction rules
</term>
#1248This paper proposes a practical approach employingn-gram models and error-correction rules for Thai key prediction and Thai-English language identification.
tech,13-1-H01-1070,ak
<term>
error-correction rules
</term>
for
<term>
Thai key prediction
</term>
and
<term>
Thai-English language identification
#1254This paper proposes a practical approach employing n-gram models and error-correction rules forThai key prediction and Thai-English language identification.
tech,1-3-H01-1070,ak
error-correction rules
</term>
. Our
<term>
algorithm
</term>
reported more than 99 %
<term>
accuracy
#1278Ouralgorithm reported more than 99% accuracy in both language identification and key prediction.
tech,4-2-H01-1070,ak
identification
</term>
. The paper also proposes
<term>
rule-reduction algorithm
</term>
applying
<term>
mutual information
</term>
#1266The paper also proposesrule-reduction algorithm applying mutual information to reduce the error-correction rules.
model,12-2-H01-1070,ak
mutual information
</term>
to reduce the
<term>
error-correction rules
</term>
. Our
<term>
algorithm
</term>
reported
#1274The paper also proposes rule-reduction algorithm applying mutual information to reduce theerror-correction rules.