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It is easy to imagine machines that can communicate in natural language. Constructing such machines is more difficult. The aim of this thesis is to demonstrate
how declarative grammar formalisms that distinguish between abstract and concrete syntax make it easier to develop natural language applications.
We describe how the type-theorectical grammar formalism Grammatical
Framework (GF) can be used as a high-level language for natural language
applications. By taking advantage of techniques from the field of programming
language implementation, we can use GF grammars to perform portable
and efficient parsing and linearization, generate speech recognition language
models, implement multimodal fusion and fission, generate support code for
abstract syntax transformations, generate dialogue managers, and implement
speech translators and web-based syntax-aware editors.
By generating application components from a declarative grammar, we can
reduce duplicated work, ensure consistency, make it easier to build multilingual
systems, improve linguistic quality, enable re-use across system domains, and
make systems more portable
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