Abstract
We consider the problem of generating grammars for classes of structured documents — dictionaries, encyclopedias, user manuals, and so on — from examples. The examples consist of structures of individual documents, and they can be collected either by converting typographical tagging of documents prepared for printing into structural tags, or by using document recognition techniques. Our method forms first finite-state automata describing the examples completely. These automata are modified by considering certain context conditions; the modifications correspond to generalizing the underlying language. Finally, the automata are converted into regular expressions, and they are used to construct the grammar. In addition to automata, an alternative representation, characteristic k-grams, is introduced. Some interactive operations are also described that are necessary for generating a grammar for a large and complicated document.
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© 1994 Springer-Verlag Berlin Heidelberg
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Ahonen, H., Mannila, H., Nikunen, E. (1994). Forming grammars for structured documents: an application of grammatical inference. In: Carrasco, R.C., Oncina, J. (eds) Grammatical Inference and Applications. ICGI 1994. Lecture Notes in Computer Science, vol 862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58473-0_145
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DOI: https://doi.org/10.1007/3-540-58473-0_145
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