H05-1029 |
learning to automatically derive the
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error recovery
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policies . <title> Proceedings
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E95-1031 |
shows 68 % , ~ 77 % accuracy in
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error recovery
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. ( NP The/dr ( ADJP ea ~ e/jj
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C80-1026 |
performance through a process of
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error recovery
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. The model is implemented in
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E95-1031 |
other is a robust parser with the
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error recovery
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mechanism proposed herein . At
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E12-3003 |
One of those , for example , is
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error recovery
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. Hand crafted error recovery
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C80-1026 |
for Acquisition Model Based on
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Error Recovery
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. As its name implies , the model
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C80-1008 |
failure of the normative rules ;
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error recovery
|
could proceed by relaxing the
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E91-1017 |
) ) . With respect to spelling
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errors recovery
|
, we distinguish between typing
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D08-1044 |
various faults through a number of
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error recovery
|
mechanisms . In the distributed
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C86-1009 |
deviant sentences . Knowing that
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error recovery
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is a complex task in the " restricted
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A94-1018 |
the constituent hypothesized by
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error recovery
|
rules and the fundamental rule
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C80-1008 |
- cepted . Finally , whenever
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error recovery
|
was feasible , it wou \ -RSB-
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C80-1008 |
on the failure to parse , and
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error recovery
|
based on manipulation of the
|
E03-2011 |
dialogue , including slot-filling ,
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error recovery
|
subdialogues control , information
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A94-1018 |
preterminals may be freely created by
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error recovery
|
rules . This argument also applies
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C94-2194 |
real time pro-cessing and on-line
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error recovery
|
. But dialogue is an inherently
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H89-2021 |
task being performed or by the
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error recovery
|
facilities provided by the system
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A92-1047 |
stage . Various strategies for
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error recovery
|
( including but not limited to
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H89-1015 |
. At some point , the cost of
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error recovery
|
exceed that of using some other
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H05-1029 |
detect the errors , ( 2 ) a set of
|
error recovery
|
strategies , and ( 3 ) a mechanism
|