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Language ID in the Context of Harvesting Language Data off the Web

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Figure

Table 1: A linguistic document that contains IGT:words in boldface are potential language names
Table 6: The predicates instantiated from the IGTsin Table 1
Table 7: The performance of the CL approach (# of classes: about 600, # of training instances=13,723)Upper bound ofTextCatMaxEnt classifier using context information
Table 9: The performance of the CoRef approach with less training data (the upper bound of the Corefapproach remains 97.31%)% of trainingF1F1-F2F1-F3F1-F4F1-F4Upper bound of

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