Amalia -- A Unified Platform for Parsing and Generation

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dc.creatorWintner, Shuly
dc.creatorGabrilovich, Evgeniy
dc.creatorFrancez, Nissim
dc.date1997-09-24
dc.date.accessioned2026-07-07T09:11:00Z
dc.date.available2026-07-07T09:11:00Z
dc.descriptionContemporary linguistic theories (in particular, HPSG) are declarative in nature: they specify constraints on permissible structures, not how such structures are to be computed. Grammars designed under such theories are, therefore, suitable for both parsing and generation. However, practical implementations of such theories don't usually support bidirectional processing of grammars. We present a grammar development system that includes a compiler of grammars (for parsing and generation) to abstract machine instructions, and an interpreter for the abstract machine language. The generation compiler inverts input grammars (designed for parsing) to a form more suitable for generation. The compiled grammars are then executed by the interpreter using one control strategy, regardless of whether the grammar is the original or the inverted version. We thus obtain a unified, efficient platform for developing reversible grammars.
dc.description8 pages postscript
dc.identifierhttps://arxiv.org/abs/cmp-lg/9709014
dc.identifierhttp://arxiv.org/abs/cmp-lg/9709014
dc.identifierProceedings of Recent Advances in Natural Language Programming (RANLP97), Tzigov Chark, Bulgaria, 11-13 September 1997, pp. 135-142
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151530
dc.subjectComputation and Language
dc.titleAmalia -- A Unified Platform for Parsing and Generation
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