Regular approximation of weighted linear nondeleting context-free tree languages

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

We show how to train a weighted regular tree grammar such that it best approximates a weighted linear nondeleting contextfree tree grammar concerning the Kullback-Leibler divergence between both grammars.

Details

Original languageEnglish
Title of host publicationImplementation and Application of Automata
EditorsKai Salomaa, Yo-Sub Han
PublisherSpringer-Verlag
Pages273-284
Number of pages12
ISBN (electronic)978-3-319-40946-7
ISBN (print)978-3-319-40945-0
Publication statusPublished - 2016
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9705
ISSN0302-9743

Conference

Title21st International Conference on Implementation and Application of Automata
Abbreviated titleCIAA 2016
Conference number21
Duration19 - 22 July 2016
Website
LocationSangnam Institute of Management (SIM)
CitySeoul
CountryKorea, Republic of

Keywords