W03-1724 bias to favor longer words than maximal matching segmentation . For the bakeoff
C92-1019 statistical data supports that the maximal matching algorithm is the most effective
W05-1301 and candidate mentions . Only maximal matching strings were used -- i.e. sub-strings
W10-3018 tagging keywords is solved by 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
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 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 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
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