J99-4003 |
We use two measures to compare
|
speech repair detection
|
. The first measure , referred
|
P97-1033 |
column gives the results of adding
|
speech repair detection
|
to the POS model . The third
|
E97-1033 |
column gives the results of adding
|
speech repair detection
|
to the POS model . The third
|
J99-4003 |
boundaries by 9.1 % . Column four adds
|
speech repair detection
|
, which further reduces the error
|
W11-1405 |
in sentence units ( SUs ) and
|
speech repairs detection
|
( Liu , 2004 ) . Hence , we use
|
W98-1121 |
reduction of 11.2 % . This shows that
|
speech repair detection
|
profits from being able to make
|
P97-1033 |
. Furthermore , adding in the
|
speech repair detection
|
and correction further improves
|
E97-1033 |
. Furthermore , adding in the
|
speech repair detection
|
and correction further improves
|
W11-1405 |
research on sentence boundary and
|
speech repair detections
|
( Shriberg et al. , 2000 ; Shriberg
|
P97-1033 |
information , and the fourth column adds
|
speech repair detection
|
and correction . We see that
|
E97-1033 |
information , and the fourth column adds
|
speech repair detection
|
and correction . We see that
|
N09-1074 |
speech repair . In that paper
|
speech repair detection
|
accuracy was increased by explicitly
|
W98-1121 |
Section 3 . The third column adds in
|
speech repair detection
|
and correction , boundary tone
|
A97-1010 |
Allen ( 1994 ) divide English
|
speech repairs detection
|
of the interruption point of
|
J99-4003 |
augments the POS-based model with
|
speech repair detection
|
and correction , which improves
|