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What are grammars good for? Reflections on twenty years of Grammatical Framework

Kapitel i bok
Författare Aarne Ranta
Publicerad i Tokens of Meaning: Papers in Honor of Lauri Karttunen
Sidor 543-566
ISBN 1-68400-048-3
Förlag CSLI Publications
Förlagsort Stanford
Publiceringsår 2019
Publicerad vid Institutionen för data- och informationsteknik (GU)
Sidor 543-566
Språk en
Länkar https://web.stanford.edu/group/csli...
Ämnesord grammar formalism, Grammatical Framework, syntactic analysis
Ämneskategorier Datorlingvistik

Sammanfattning

Grammars define concepts that make it possible to talk about language in a precise way. As demonstrated by finite state morphology, grammatical language processing can scale up to practical applications. Grammars can also be useful for statistical processing, since they provide abstractions that help with sparse data. In this paper, we investigate the use of grammars in syntactic analysis and machine translation. We do it by tracing the development of GF (Grammatical Framework), a grammar formalism that was first released in 1998 at Xerox Research Centre Europe in Grenoble and later became a collaborative open source project. The original use case for GF was sublanguage translation based on semantic interlinguas, but GF has later scaled up to wide coverage parsing and translation as well. Much of this is due to design decisions similar to the Xerox Finite State Tool: that grammars should be seen as transducers rather than classifiers; that one should be able to compose grammars that address different levels of analysis; that a grammar formalism should be mathematically clean and simple; and that its implementation should have separate source and run-time formats, where the source format is nice to work with and the run-time format is efficient to process.

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