A92-1033 |
relationships is currently based on
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exact matching
|
. The matching process is being
|
D12-1011 |
between a symbol s and text t ,
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exact matching
|
and partial matching . Exact
|
D11-1070 |
length of 1,2 or 3 ( and we used
|
exact matching
|
after lemmatisation ) . There
|
C94-2114 |
1 . Searching for examples 2 .
|
Exact matching
|
3 . Best matching with a thesaurus
|
C92-2104 |
with the part of structure 2 .
|
Exact matching
|
makes matching only once . while
|
C92-2104 |
same as W5 , the system performs
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exact matching
|
between database ( W3 ) and database
|
C92-2104 |
same as W7 , the system performs
|
exact matching
|
between database ( W3 ) and database
|
C86-1091 |
multiplied . Morphonologic rules have
|
exact matching
|
conditions , therefore classification
|
D08-1040 |
state - ment , the system uses
|
exact matching
|
searches of the whole phrases
|
C94-2114 |
the candidate and the example (
|
exact matching
|
) . Word-sense ambiguities are
|
C00-1024 |
function of tile thesauri . It uses
|
exact matching
|
. Tile precision is a little
|
C94-2114 |
value is smaller than that for
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exact matching
|
is given to the examples . The
|
C92-2104 |
matching ( 2 ) Non-restricted
|
exact matching
|
( 3 ) Restricted best latching
|
C92-2104 |
methods are : ( 1 ) Restricted
|
exact matching
|
( 2 ) Non-restricted exact matching
|
C92-2104 |
Non-restricted best matching Restricted
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exact matching
|
is a well-known method . This
|
C92-2104 |
Second Step : ( l ) Rostricted
|
exact matching
|
Let WORK be an empty database
|
D11-1144 |
presented above is obtained using an
|
exact matching
|
criterion where partial extraction
|
C94-2183 |
, ed a ( :( : , . ~ l'ding to
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exact matching
|
, matching of { h { " il ' parts
|
D13-1056 |
P ) , recall ( R ) , F1 , and
|
exact matching
|
6a few examples : two Atlanta-based
|
C96-1095 |
workload by not considering the
|
exact matching
|
bracket pairs ; they are simply
|