For the majority of the world’s languages, the number of linguistic resources (e.g., an- notated corpora and parallel data) is very limited. Consequently, supervised methods, as well as many unsupervised methods, can- not be applied directly, leaving these lan- guages largely untouched and unnoticed. In this paper, we describe the construction of a resource that taps the large body of linguisti- cally analyzed language data that has made its way to the Web, and propose using this resourceto bootstrap NLP tool development.

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