W03-1724 |
bias to favor longer words than
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maximal matching
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segmentation . For the bakeoff
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C92-1019 |
statistical data supports that the
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maximal matching
|
algorithm is the most effective
|
W05-1301 |
and candidate mentions . Only
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maximal matching
|
strings were used -- i.e. sub-strings
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W10-3018 |
tagging keywords is solved by
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maximal matching
|
strategy . It is curious that
|
I05-3029 |
through a process of Backward
|
Maximal Matching
|
( BMM ) segmentation equipped
|
S15-2113 |
relevant at this point is the
|
maximal matching
|
segmentation . The segmentation
|
I05-3021 |
differs remarkably from the previous
|
maximal matching
|
approaches : it matches pre-segmented
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W04-2406 |
Research , or determining the
|
maximal matching
|
of a bipartite graph in Graph
|
M95-1018 |
metric value , an d selected the
|
maximal matching
|
Egraph that exceeded the similarity
|
P93-1015 |
problem now is to find the largest
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maximal matching
|
( or assignment ) that has the
|
N04-3008 |
Operations Research and finding the
|
maximal matching
|
of a bipartite graph . Figure
|
N03-3004 |
Research , and determining the
|
maximal matching
|
of a bipartite graph . Figure
|
W10-3213 |
approach where the principle of
|
maximal matching
|
algorithm is applied to the input
|
J97-4004 |
few variations of the sense of
|
maximal matching
|
. " Hence , many variations have
|
W10-3213 |
the collection of lexicon , the
|
maximal matching
|
algorithm selects the segmentation
|
N03-2035 |
However , simple algorithms such as
|
maximal matching
|
-LSB- 6 , 9 -RSB- and longest
|
I05-3021 |
disambiguation module to polish its
|
maximal matching
|
output . However , this is not
|
I05-3029 |
segmentation mechanism based on
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maximal matching
|
, and other supplementary features
|
I05-3021 |
optimization criterion , we have a
|
maximal matching
|
approach to word seg - mentation
|
P00-1078 |
segmentation , the longest matching ,
|
maximal matching
|
and probabilistic segmentation
|