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        <identifier>oai:drops-oai.dagstuhl.de:17433</identifier>
        <datestamp>2024-03-06T10:59:44Z</datestamp>
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          <dc:title>New Analytic Techniques for Proving the Inherent Ambiguity of Context-Free Languages</dc:title>
          <dc:creator>Koechlin, Florent</dc:creator>
          <dc:subject>Inherent ambiguity</dc:subject>
          <dc:subject>Infinite ambiguity</dc:subject>
          <dc:subject>Ambiguity</dc:subject>
          <dc:subject>Generating series</dc:subject>
          <dc:subject>Context-free languages</dc:subject>
          <dc:subject>Bounded languages</dc:subject>
          <dc:description>This article extends the work of Flajolet [Philippe Flajolet, 1987] on the relation between generating series and inherent ambiguity. We first propose an analytic criterion to prove the infinite inherent ambiguity of some context-free languages, and apply it to give a purely combinatorial proof of the infinite ambiguity of Shamir’s language. Then we show how Ginsburg and Ullian’s criterion on unambiguous bounded languages translates into a useful criterion on generating series, which generalises and simplifies the proof of the recent criterion of Makarov [Vladislav Makarov, 2021]. We then propose a new criterion based on generating series to prove the inherent ambiguity of languages with interlacing patterns, like {a^nb^ma^pb^q | n≠p or m≠q, with n,m,p,q ∈ ℕ^*}. We illustrate the applicability of these two criteria on many examples.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Florent Koechlin</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 250, 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2022.41</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-174331</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2022.41</dc:identifier>
          <dc:language>eng</dc:language>
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