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Automated Derivation of Translators From Annotated Grammars
- Source :
- Proceedings 6th Workshop on Language Descriptions, Tools, and Applications (LDTA 2006, Vienna, Austria, April 1, 2006), 121-137, STARTPAGE=121;ENDPAGE=137;TITLE=Proceedings 6th Workshop on Language Descriptions, Tools, and Applications (LDTA 2006, Vienna, Austria, April 1, 2006)
- Publication Year :
- 2006
- Publisher :
- Elsevier BV, 2006.
-
Abstract
- In this paper we propose a technique to automate the process of building translators between operations languages, a family of DSLs used to program satellite operations procedures. We exploit the similarities between those languages to semi-automatically build a transformation schema between them, through the use of annotated grammars. To improve the overall translation process even more, reducing its complexity, we also propose an intermediate representation common to all operations languages. We validate our approach by semi-automatically deriving translators between some operations languages, using a prototype tool which we implemented for that purpose.
- Subjects :
- language translation
Intermediate language
General Computer Science
Computer science
Programming language
business.industry
Automatic translation
computer.software_genre
operations languages
Theoretical Computer Science
grammarware
Rule-based machine translation
Schema (psychology)
language transformation
Artificial intelligence
business
computer
automatic translation
Natural language processing
Computer Science(all)
Subjects
Details
- ISSN :
- 15710661
- Volume :
- 164
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Electronic Notes in Theoretical Computer Science
- Accession number :
- edsair.doi.dedup.....b2808534e258cef862eec1b273045b0c
- Full Text :
- https://doi.org/10.1016/j.entcs.2006.10.009