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| DOI | 10.1145/3517804.3526232 | ||||
| Año | 2022 | ||||
| Tipo | proceedings paper |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
We introduce annotated grammars, an extension of context-free grammars which allows annotations on terminals. Our model extends the standard notion of regular spanners, and is more expressive than the extraction grammars recently introduced by Peterfreund. We study the enumeration problem for annotated grammars: fixing a grammar, and given a string as input, enumerate all annotations of the string that form a word derivable from the grammar. Our first result is an algorithm for unambiguous annotated grammars, which preprocesses the input string in cubic time and enumerates all annotations with output-linear delay. This improves over Peterfreund's result, which needs quintic time preprocessing to achieve this delay bound. We then study how we can reduce the preprocessing time while keeping the same delay bound, by making additional assumptions on the grammar. Specifically, we present a class of grammars which only have one derivation shape for all outputs, for which we can enumerate with quadratic time preprocessing. We also give classes that generalize regular spanners for which linear time preprocessing suffices.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Amarilli, Antoine | Hombre |
Institut Polytechnique de Paris - Francia
Inst Polytech Paris - Francia |
| 2 | Jachiet, Louis | Hombre |
Institut Polytechnique de Paris - Francia
Inst Polytech Paris - Francia |
| 3 | Muñoz, Martín | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 4 | Riveros, Cristian | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 5 | ACM | Corporación |
| Fuente |
|---|
| Deutsche Forschungsgemeinschaft |
| Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) |
| ANR project |
| Agencia Nacional de Investigación y Desarrollo |
| ANID - Millennium Science Initiative Program |
| Agradecimiento |
|---|
| Acknowledgements. Amarilli was partially supported by the ANR project EQUUS ANR-19-CE48-0019 and by the Deutsche Forschungs-gemeinschaft (DFG, German Research Foundation) – 431183758. Muñoz and Riveros were funded by ANID - Millennium Science Initiative Program - Code ICN17_002. |
| Amarilli was partially supported by the ANR project EQUUS ANR-19-CE48-0019 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 431183758. Munoz and Riveros were funded by ANID - Millennium Science Initiative Program - Code ICN17_002. |