model,1-2-N03-1018,bq |
The
<term>
model
</term>
is designed for use in
<term>
error correction
</term>
, with a focus on
<term>
post-processing
</term>
the
<term>
output
</term>
of black-box
<term>
OCR systems
</term>
in order to make it more useful for
<term>
NLP tasks
</term>
.
|
#2713
The model is designed for use in error correction, with a focus on post-processing the output of black-box OCR systems in order to make it more useful for NLP tasks. |
other,16-2-N03-1018,bq |
The
<term>
model
</term>
is designed for use in
<term>
error correction
</term>
, with a focus on
<term>
post-processing
</term>
the
<term>
output
</term>
of black-box
<term>
OCR systems
</term>
in order to make it more useful for
<term>
NLP tasks
</term>
.
|
#2728
The model is designed for use in error correction, with a focus on post-processing the output of black-box OCR systems in order to make it more useful for NLP tasks. |
model,6-3-N03-1018,bq |
We present an implementation of the
<term>
model
</term>
based on
<term>
finite-state models
</term>
, demonstrate the
<term>
model
</term>
's ability to significantly reduce
<term>
character and word error rate
</term>
, and provide evaluation results involving
<term>
automatic extraction
</term>
of
<term>
translation lexicons
</term>
from
<term>
printed text
</term>
.
|
#2750
We present an implementation of the model based on finite-state models, demonstrate the model's ability to significantly reduce character and word error rate, and provide evaluation results involving automatic extraction of translation lexicons from printed text. |
model,14-3-N03-1018,bq |
We present an implementation of the
<term>
model
</term>
based on
<term>
finite-state models
</term>
, demonstrate the
<term>
model
</term>
's ability to significantly reduce
<term>
character and word error rate
</term>
, and provide evaluation results involving
<term>
automatic extraction
</term>
of
<term>
translation lexicons
</term>
from
<term>
printed text
</term>
.
|
#2758
We present an implementation of the model based on finite-state models, demonstrate the model 's ability to significantly reduce character and word error rate, and provide evaluation results involving automatic extraction of translation lexicons from printed text. |