Results 11 to 20 of about 362 (165)
Linear Parsing Expression Grammars [PDF]
, 2017 PEGs were formalized by Ford in 2004, and have several pragmatic operators (such as ordered choice and unlimited lookahead) for better expressing modern programming language syntax. Since these operators are not explicitly defined in the classic formal language theory, it is significant and still challenging to argue PEGs' expressiveness in the context
Nariyoshi Chida, Kimio Kuramitsu
openaire +2 more sources
Adaptable Parsing Expression Grammars [PDF]
, 2012 The term "extensible language" is especially used when a language allows the extension of its own concrete syntax and the definition of the semantics of new constructs. Most popular tools designed for automatic generation of syntactic analyzers do not offer any desirable resources for the specification of extensible languages.
Leonardo Vieira dos Santos Reis +3 more
openaire +1 more source
Syntax error recovery in parsing expression grammars [PDF]
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018 Parsing Expression Grammars (PEGs) are a formalism used to describe top-down parsers with backtracking. As PEGs do not provide a good error recovery mechanism, PEG-based parsers usually do not recover from syntax errors in the input, or recover from syntax errors using ad-hoc, implementation-specific features.
Sérgio Medeiros 0001, Fabio Mascarenhas
openaire +2 more sources
A verified packrat parser interpreter for parsing expression grammars [PDF]
Proceedings of the 9th ACM SIGPLAN International Conference on Certified Programs and Proofs, 2020 15 pages, 15 figures, Certified Proofs and ...
Clement Blaudeau, Natarajan Shankar
openaire +2 more sources
Parsing Expression Grammar and Packrat Parsing – A Review
Journal of University of Shanghai for Science and Technology, 2020 Bryan Ford presented Parsing Expression Grammars (PEGs) as an alternative to specify rules for programming language, along with a Packrat parser, based on an idea of memoization. The idea proposed by B. Ford guarantees parsing of grammar written using PEGs in linear time in spite of backtracking. The primary aim of the paper is to highlight the details
Nikhil Mangrulkar S +3 more
openaire +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
The formalization and implementation of Adaptable Parsing Expression Grammars
Science of Computer Programming, 2014 The term "extensible language" is especially used when a language allows the extension of its own concrete syntax and the definition of the semantics of new constructs. Most popular tools designed for automatic generation of syntactic analysers do not offer any adequate resources for the specification of extensible languages.
Leonardo Vieira dos Santos Reis +3 more
openaire +1 more source
Advanced Science, EarlyView.Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source