A practical algorithm for generating LR parsers maintaining immediate error detection (abstract) [PDF]
W. Douglas Findley, V. Santhanam
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Generating LR(1) parsers of small size [PDF]
Classic LR(1) parsing methods have the problem of producing too large parsing tables for programming language grammars. An alternative is to build an automaton that combines the lookahead symbol with reading the parsing stack from its top, to determine the next parsing action.
openaire +3 more sources
Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. [PDF]
Aljohani T, Cristea AI.
europepmc +1 more source
A Practical State Splitting Algorithm for Constructing LR-Parsers
Bent Bruun Kristensen+1 more
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Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
Khan B, Nadeem A.
europepmc +1 more source
On parsing and condensing substrings of LR languages in linear time
Heiko Goeman
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A context-sensitive model for probabilistic LR parsing of spoken language with transformation-based postprocessing [PDF]
Tobias Ruland
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Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning. [PDF]
Janjua SH+4 more
europepmc +1 more source
Globalization of Incorporating Adjacent Symbol Connection Constraints into an LR Parsing Table
Tomoya Noro+3 more
openalex +2 more sources