W08-1704 |
systems are currently based on
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statistical language processing
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. MedSLT , however , has been
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C04-1112 |
themselves to solutions using
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statistical language processing
|
tech - niques . Many of these
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W00-1506 |
text and speech data for training
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statistical language processing
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algorithms . The cost of creating
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P97-1046 |
lexicalized recursive grammars and
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statistical language processing
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. The context for evaluating
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E97-1046 |
lexicalized recursive grammars and
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statistical language processing
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. The context for evaluating
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E95-1008 |
demonstrated . 1 Introduction In
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statistical language processing
|
, n-grams are basic to many probabilistic
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W98-1426 |
practical synergy between symbolic and
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statistical language processing
|
in a generator called Nitrogen
|
W13-4706 |
is indeed a major problem for
|
Statistical language processing
|
, especially for underresourced
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P97-1008 |
distribution dissimilarity function in
|
statistical language processing
|
. The function itself is implicit
|
E97-1008 |
distribution dissimilarity function in
|
statistical language processing
|
. The function itself is implicit
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P95-1054 |
recent revival of interest in
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statistical language processing
|
is partly because of its ( comparative
|
W00-1219 |
Introduction Almost all techniques to
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statistical language processing
|
, including speech recognition
|
W98-1426 |
the synergy between symbolic and
|
statistical language processing
|
and discusses Nitrogen 's performance
|
P97-1006 |
stands in the way of reliable
|
statistical language processing
|
( e.g. ( Gale and Church , 1990
|
E97-1006 |
stands in the way of reliable
|
statistical language processing
|
( e.g. ( Gale and Church , 1990
|
P00-1072 |
most suffering difficulties in
|
statistical language processing
|
is so-called data sparseness
|
P05-2015 |
Quarc and the Brown University
|
statistical language processing
|
class project . The corpus includes
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D08-1065 |
MBR performance . 1 Introduction
|
Statistical language processing
|
systems for speech recognition
|
W97-0309 |
and mixed-order Markov models
|
statistical language processing
|
</title> Lawrence Saul Fernando
|
H94-1045 |
Bobrow , Schwartz , and Ingria (
|
Statistical Language Processing
|
Using Hidden Understanding Models
|