P06-1125 |
notable in applying SCM in chat
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term normalization
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. First , data sparseness problem
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P06-1125 |
context will be considered in chat
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term normalization
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, discourse for instance . Acknowledgement
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P06-1125 |
SCM is deemed applicable to chat
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term normalization
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due to similar task nature .
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P06-1125 |
task of dynamic chat language
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term normalization
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, we extend the source channel
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E99-1003 |
as LEXTER . In our approach ,
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term normalization
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is performed through the conflation
|
W03-1301 |
gene identifier , providing "
|
term normalization
|
. " 4 Experiments For purposes
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P06-1125 |
, they improve quality of chat
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term normalization
|
on individual test sets . On
|
S14-2016 |
document normalization but no
|
term normalization
|
and the value N1 = 5000 . These
|
W03-1301 |
currently few corpora with annotated
|
term normalization
|
; using the methodology outlined
|
P06-1125 |
improve quality of chat language
|
term normalization
|
. One question might be asked
|
P06-1125 |
improve quality of chat language
|
term normalization
|
. The last tendency is found
|
E99-1003 |
Adapting a Normalization Tool
|
Term normalization
|
is a procedure used in automatic
|
W04-1812 |
of metarules used to describe
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term normalization
|
, while semantic variants are
|
P99-1044 |
knowledge and performs accurate
|
term normalization
|
. It relies on previous or ongoing
|
W04-1812 |
variation management is based on
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term normalization
|
as an integral part of the ATR
|
P06-4006 |
variation management is based on
|
term normalization
|
as an integral part of the ATR
|
P06-1125 |
independent of each other . Thus chat
|
term normalization
|
probability can be calculated
|
P99-1044 |
is presented . It is applied to
|
term normalization
|
of French and English corpora
|
E99-1003 |
platform presented in this paper ,
|
term normalization
|
is performed by FASTR , a shallow
|
P06-4006 |
of meta-rules used to describe
|
term normalization
|
, while semantic variants are
|