Negative filter
error, correction 13
(416.2 per million)
other,6-1-J86-1002,ak
for
<term>
error correction
</term>
of
<term>
ill-formed input
</term>
is described that acquires
<term>
dialogue
#16177A method for error correction ofill-formed input is described that acquires dialogue patterns in typical usage and uses these patterns to predict new inputs.
model,12-1-J86-1002,ak
input
</term>
is described that acquires
<term>
dialogue patterns
</term>
in typical usage and uses these
<term>
#16183A method for error correction of ill-formed input is described that acquiresdialogue patterns in typical usage and uses these patterns to predict new inputs.
model,20-1-J86-1002,ak
</term>
in typical usage and uses these
<term>
patterns
</term>
to predict new
<term>
inputs
</term>
#16191A method for error correction of ill-formed input is described that acquires dialogue patterns in typical usage and uses thesepatterns to predict new inputs.
other,24-1-J86-1002,ak
<term>
patterns
</term>
to predict new
<term>
inputs
</term>
.
<term>
Error correction
</term>
is
#16195A method for error correction of ill-formed input is described that acquires dialogue patterns in typical usage and uses these patterns to predict newinputs.
tech,0-2-J86-1002,ak
to predict new
<term>
inputs
</term>
.
<term>
Error correction
</term>
is done by strongly biasing
<term>
#16197A method for error correction of ill-formed input is described that acquires dialogue patterns in typical usage and uses these patterns to predict new inputs.Error correction is done by strongly biasing parsing toward expected meanings unless clear evidence from the input shows the current sentence is not expected.
tech,7-2-J86-1002,ak
</term>
is done by strongly biasing
<term>
parsing
</term>
toward
<term>
expected meanings
</term>
#16204Error correction is done by strongly biasingparsing toward expected meanings unless clear evidence from the input shows the current sentence is not expected.
other,9-2-J86-1002,ak
biasing
<term>
parsing
</term>
toward
<term>
expected meanings
</term>
unless clear evidence from the
<term>
#16206Error correction is done by strongly biasing parsing towardexpected meanings unless clear evidence from the input shows the current sentence is not expected.
other,16-2-J86-1002,ak
</term>
unless clear evidence from the
<term>
input
</term>
shows the current
<term>
sentence
</term>
#16213Error correction is done by strongly biasing parsing toward expected meanings unless clear evidence from theinput shows the current sentence is not expected.
other,20-2-J86-1002,ak
<term>
input
</term>
shows the current
<term>
sentence
</term>
is not expected . A
<term>
dialogue
#16217Error correction is done by strongly biasing parsing toward expected meanings unless clear evidence from the input shows the currentsentence is not expected.
tech,1-3-J86-1002,ak
sentence
</term>
is not expected . A
<term>
dialogue acquisition and tracking algorithm
</term>
is presented along with a description
#16223Adialogue acquisition and tracking algorithm is presented along with a description of its implementation in a voice interactive system.
tech,17-3-J86-1002,ak
description of its implementation in a
<term>
voice interactive system
</term>
. A series of tests are described
#16239A dialogue acquisition and tracking algorithm is presented along with a description of its implementation in avoice interactive system.
tech,12-4-J86-1002,ak
described that show the power of the
<term>
error correction methodology
</term>
when stereotypic
<term>
dialogue
</term>
#16255A series of tests are described that show the power of theerror correction methodology when stereotypic dialogue occurs.
other,17-4-J86-1002,ak
methodology
</term>
when stereotypic
<term>
dialogue
</term>
occurs . In this paper we explore
#16260A series of tests are described that show the power of the error correction methodology when stereotypicdialogue occurs.