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Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY V4.0, Open
Conference proceeding
The Linguistics of Programming
Proceedings of the 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, pp 162-182
17 Oct 2024
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Abstract
Research in programming languages and software engineering are broadly concerned with the study of aspects of computer programs: their syntactic structure, the relationship between form and meaning (semantics), empirical properties of how they are constructed and deployed, and more. We could equally well apply this description to the range of ways in which linguistics studies the form, meaning, and use of natural language. We argue that despite some notable examples of PL and SE research drawing on ideas from natural language processing, there are still a wealth of concepts, techniques, and conceptual framings originating in linguistics which would be of use to PL and SE research. Moreover we show that beyond mere parallels, there are cases where linguistics research has complementary methodologies, may help explain or predict study outcomes, or offer new perspectives on established research areas in PL and SE. Broadly, we argue that researchers across PL and SE are investigating close cousins of problems actively studied for years by linguists, and familiarity with linguistics research seems likely to bear fruit for many PL and SE researchers.
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Details
- Title
- The Linguistics of Programming
- Creators
- Colin S. Gordon (Corresponding Author) - Drexel University
- Publication Details
- Proceedings of the 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, pp 162-182
- Conference
- Onward! '24: 2024 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software
- Series
- ACM Conferences
- Publisher
- Association for Computing Machinery
- Number of pages
- 21
- Grant note
- NSF: CCF-2220991
This work was supported in part by NSF Award CCF-2220991.
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:001344247800012
- Scopus ID
- 2-s2.0-85212586372
- Other Identifier
- 991021929987804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Computer Science, Theory & Methods