License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.MFCS.2023.67
URN: urn:nbn:de:0030-drops-186016
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18601/
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Mikhelson, Margarita ; Okhotin, Alexander

Parallel Enumeration of Parse Trees

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LIPIcs-MFCS-2023-67.pdf (1 MB)


Abstract

A parallel algorithm for enumerating parse trees of a given string according to a fixed context-free grammar is defined. The algorithm computes the number of parse trees of an input string; more generally, it applies to computing the weight of a string in a weighted grammar. The algorithm is first implemented on an arithmetic circuit of depth O((log n)²) with O(n⁶) elements. Then, it is improved using fast matrix multiplication to use only O(n^5.38) elements, while preserving depth O((log n)²).

BibTeX - Entry

@InProceedings{mikhelson_et_al:LIPIcs.MFCS.2023.67,
  author =	{Mikhelson, Margarita and Okhotin, Alexander},
  title =	{{Parallel Enumeration of Parse Trees}},
  booktitle =	{48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023)},
  pages =	{67:1--67:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-292-1},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{272},
  editor =	{Leroux, J\'{e}r\^{o}me and Lombardy, Sylvain and Peleg, David},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18601},
  URN =		{urn:nbn:de:0030-drops-186016},
  doi =		{10.4230/LIPIcs.MFCS.2023.67},
  annote =	{Keywords: Context-free grammars, weighted grammars, parsing, parallel algorithms, matrix multiplication}
}

Keywords: Context-free grammars, weighted grammars, parsing, parallel algorithms, matrix multiplication
Collection: 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023)
Issue Date: 2023
Date of publication: 21.08.2023


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