tech,17-2-H92-1016,bq |
model
</term>
in conjunction with a
<term>
|
probabilistic LR parser
|
</term>
, and refinements made to the
<term>
|
#18726
These include context-dependent phonetic modelling, the use of a bigram language model in conjunction with aprobabilistic LR parser, and refinements made to the lexicon. |
lr,12-4-H92-1016,bq |
language system
</term>
on the same
<term>
|
test set
|
</term>
is 49.3 % . Similar results were
|
#18789
The weighted error for the entire spoken language system on the sametest set is 49.3%. |
lr-prod,7-5-H92-1016,bq |
results were also obtained on the
<term>
|
February '92 benchmark evaluation
|
</term>
. This paper describes three relatively
|
#18802
Similar results were also obtained on theFebruary '92 benchmark evaluation. |
lr-prod,35-3-H92-1016,bq |
2.5 and 1.6 , respectively , on the
<term>
|
October '91 test set
|
</term>
. The weighted error for the entire
|
#18772
Together with the use of a larger training set, these modifications combined to reduce the speech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on theOctober '91 test set. |
tool,7-1-H92-1016,bq |
paper describes the status of the
<term>
|
MIT ATIS system
|
</term>
as of February 1992 , focusing especially
|
#18690
This paper describes the status of theMIT ATIS system as of February 1992, focusing especially on the changes made to the SUMMIT recognizer. |
lr,26-2-H92-1016,bq |
</term>
, and refinements made to the
<term>
|
lexicon
|
</term>
. Together with the use of a larger
|
#18735
These include context-dependent phonetic modelling, the use of a bigram language model in conjunction with a probabilistic LR parser, and refinements made to thelexicon. |
tech,2-2-H92-1016,bq |
SUMMIT recognizer
</term>
. These include
<term>
|
context-dependent phonetic modelling
|
</term>
, the use of a
<term>
bigram language
|
#18711
These includecontext-dependent phonetic modelling, the use of a bigram language model in conjunction with a probabilistic LR parser, and refinements made to the lexicon. |
tool,23-1-H92-1016,bq |
especially on the changes made to the
<term>
|
SUMMIT recognizer
|
</term>
. These include
<term>
context-dependent
|
#18706
This paper describes the status of the MIT ATIS system as of February 1992, focusing especially on the changes made to theSUMMIT recognizer. |
lr,7-3-H92-1016,bq |
Together with the use of a larger
<term>
|
training set
|
</term>
, these modifications combined to
|
#18744
Together with the use of a largertraining set, these modifications combined to reduce the speech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on the October '91 test set. |
tech,6-4-H92-1016,bq |
The weighted error for the entire
<term>
|
spoken language system
|
</term>
on the same
<term>
test set
</term>
is
|
#18783
The weighted error for the entirespoken language system on the same test set is 49.3%. |
model,10-2-H92-1016,bq |
phonetic modelling
</term>
, the use of a
<term>
|
bigram language model
|
</term>
in conjunction with a
<term>
probabilistic
|
#18719
These include context-dependent phonetic modelling, the use of abigram language model in conjunction with a probabilistic LR parser, and refinements made to the lexicon. |
measure(ment),16-3-H92-1016,bq |
modifications combined to reduce the
<term>
|
speech recognition word and sentence error rates
|
</term>
by a factor of 2.5 and 1.6 , respectively
|
#18753
Together with the use of a larger training set, these modifications combined to reduce thespeech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on the October '91 test set. |