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          <dc:title>Programming Language Processing (Dagstuhl Seminar 23062)</dc:title>
          <dc:creator>Pradel, Michael</dc:creator>
          <dc:creator>Ray, Baishakhi</dc:creator>
          <dc:creator>Sutton, Charles</dc:creator>
          <dc:creator>Yahav, Eran</dc:creator>
          <dc:subject>ML4PL</dc:subject>
          <dc:subject>ML4SE</dc:subject>
          <dc:subject>Neural Software Analysis</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 23062 "Programming Language Processing" (PLP). The seminar brought together researchers and practitioners from three communities-software engineering, programming languages, and natural language processing- providing a unique opportunity for cross-fertilization and inter-disciplinary progress. We discussed machine learning models of code, integrating learning-based and traditional program analysis, and learning from natural language information associated with software. The seminar lead to a better understanding of the commonalities and differences between natural and programming languages, and an understanding of the challenges and opportunities in industry adoption of PLP.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 13, Issue 2 (2023)</dc:relation>
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