Amalia -- A Unified Platform for Parsing and Generation

Details Amalia -- A Unified Platform for Parsing and Generation Amalia -- A Unified Platform for Parsing and Generation

1997-09-24

arxiv.org/abs/cmp-lg/9709014v1

Proceedings of Recent Advances in Natural Language Programming (RANLP97), Tzigov Chark, Bulgaria, 11-13 September 1997, pp. 13

Computer Science

Computation and Language

8 pages postscript

Scientific paper

Contemporary 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.

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