LR Parsing Challenges: Programming Language Pragmatics playlist:

LR parsing is a powerful technique, but natural grammars can still have conflicts--even for expressions as simple as if-then-else. What to do? Find out in my latest Programming Language Pragmatics video!.

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Bottom-up, LR Parsing: Programming Language Pragmatics playlist:

How do bottom-up, LR parsers work? Learn about this powerful and flexible parsing technique in my new Programming Language Pragmatics video!

Key aspects of the policy:. * Authors are accountable for the paper content. * Any use of generative AI in a submitted paper (other than for purposes like grammar checking) must be disclosed.

Q: Is it OK to get the references for my paper from generative AI?. A: Only if you verify they are real & relevant. Submitting a paper with hallucinated references would violate the ACM Policy on Authorship, and your paper will likely be desk rejected.

PLP 2.3 part 2 - Implementing a Top-Down, LL Parser: Programming Language Pragmatics playlist:

How do you implement a top-down parser? Learn two different approaches, recursive descent and table-driven, in my latest Programming Language Pragmatics video!.

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PLP 2.3 part 1 - Top-down, LL Parsing: Programming Language Pragmatics playlist:

How do parsers work? Check out my latest Programming Language Pragmatics video for an overview of parsing and a deep dive into top-down parsing techniques!

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Generating a Finite Automaton: Programming Language Pragmatics playlist:

In programming language syntax, tokens are specified with regular expressions, but scanners are implemented as deterministic finite automaton. How do scanner generators go from one to the other?. Find out in my latest Programming Language Pragmatics video!

PLP 2.2 - Scanning: Programming Language Pragmatics playlist:

How do compilers and other programming tools read code?. For the first part of the story, watch my new Programming Language Pragmatics video on Scanning, the process of reading program text and dividing it into tokens, the smallest units of text that make sense on their own.