Abstract
The conversion algorithms for two classes of tree transducers, i.e., simple generalized syntax-directed tree translation (SGSDTT) and generalized finite state transformation (GFST), are proposed. A top-down backtrack parsing algorithm for a GFST is presented. The minimum distance structure-preserved error-correcting tree automaton is also extended to be a parser for SGSDTT. Finally, the tree transducers are applied to modeling and analysis of human motion.
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This work was supported by the NSF Grant IST 79-18884.
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Lin, WC., Fu, KS. Conversion and parsing of tree transducers for syntactic pattern analysis. International Journal of Computer and Information Sciences 11, 417–458 (1982). https://doi.org/10.1007/BF00996819
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DOI: https://doi.org/10.1007/BF00996819
Key words
- Syntactic pattern recognition
- tree
- top-down tree transducer
- bottom-up tree transducer
- generalized syntax-directed translation
- generalized syntax-directed tree translation
- generalized finite-state transformation
- tree grammar
- top-down backtrack parsing
- minimum-distance structure-preserved error-correcting parser
- human motion modeling
- grammatical inference
- motion analysis