Graehl et al., 2008 - Google Patents
Training tree transducersGraehl et al., 2008
View PDF- Document ID
- 7169140600586616821
- Author
- Graehl J
- Knight K
- May J
- Publication year
- Publication venue
- Computational Linguistics
External Links
Snippet
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for granted in (finite-state) string-based modeling. The theory of tree transducer automata provides a …
- 238000009795 derivation 0 description 63
Classifications
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- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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- G06F17/2827—Example based machine translation; Alignment
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