A83-1031 |
additional source of pragmatic
|
error correction
|
comes from utterances in historically
|
A94-1039 |
procedure using the Selective
|
Error Correction
|
Method for erroneous Japanese
|
A94-1026 |
and error correction . In the
|
error correction
|
process , the correct candidates
|
A83-1031 |
Miscellaneous Questions Apart from
|
error correction
|
, a number of other questions
|
A94-1026 |
processes : error detection and
|
error correction
|
. In the error correction process
|
A94-1026 |
processes , error detection and
|
error correction
|
, will be described using examples
|
A92-1017 |
, not disturb intrasentential
|
error correction
|
. Nothing , however , prevents
|
A00-3006 |
for text tagging to be useful in
|
error correction
|
is a recognition that the tagset
|
A83-1031 |
simulate a syntactic level of voice
|
error correction
|
but nothing deeper . It was found
|
A94-1026 |
on formula ( 3 ) . Next , the
|
error correction
|
process is invoked after detecting
|
A94-1026 |
by the homophone reading in the
|
error correction
|
process , to find the correct
|
A00-1046 |
including error correction times ,
|
error correction
|
itself was four times more costly
|
A00-1046 |
GUI-based interaction , even including
|
error correction
|
times , error correction itself
|
A94-1039 |
In this paper , the Selective
|
Error Correction
|
Method is applied to detect and
|
A00-3006 |
great aid in performing automatic
|
error correction
|
. There is certainly a great
|
A92-1017 |
data , its ( higher - level )
|
error correction
|
still operates on nothing but
|
A00-1046 |
offer advantages for supporting
|
error correction
|
during dictation -LSB- 16 , 19
|
A88-1011 |
that methods for orthographical
|
error correction
|
can not only be applied in text
|
A83-1031 |
possible . We have therefore designed
|
error correction
|
software that corrects for certain
|
A92-1002 |
speech recognition system so that
|
error correction
|
can be maximized . Where ambiguity
|