Results 51 to 60 of about 7,126 (164)

On LR(k)-parsers of polynomial size

open access: yesCoRR, 2015
Usually, a parser for an $LR(k)$-grammar $G$ is a deterministic pushdown transducer which produces backwards the unique rightmost derivation for a given input string $x \in L(G)$. The best known upper bound for the size of such a parser is $O(2^{|G||Σ|^k+k\log |Σ| + \log |G|})$ where $|G|$ and $|Σ|$ are the sizes of the grammar $G$ and the terminal ...
openaire   +2 more sources

Self‐Admitted Technical Debt Detection Approaches: A Decade Systematic Review

open access: yesJournal of Software: Evolution and Process, Volume 38, Issue 4, April 2026.
This systematic literature review traces the evolution of self‐admitted technical debt (SATD) detection from heuristic approaches to machine learning, deep learning, and Transformer‐based models. We synthesize the literature by categorizing detection techniques, levels of automation, and evaluation practices, and we identify persistent gaps in ...
Edi Sutoyo, Andrea Capiluppi
wiley   +1 more source

Construction of a menu-based system [PDF]

open access: yes
The development of the user interface to a software code management system is discussed. The user interface was specified using a grammar and implemented using a LR parser generator. This was found to be an effective method for the rapid prototyping of a
Collins, W. R., Noonan, R. E.
core   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

open access: yesAdvanced Science, Volume 13, Issue 18, 27 March 2026.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang   +11 more
wiley   +1 more source

C-structures and f-structures for the British national corpus [PDF]

open access: yes, 2007
We describe how the British National Corpus (BNC), a one hundred million word balanced corpus of British English, was parsed into Lexical Functional Grammar (LFG) c-structures and f-structures, using a treebank-based parsing architecture.
Foster, Jennifer   +3 more
core  

Can Subcategorisation Probabilities Help a Statistical Parser?

open access: yes, 1998
Research into the automatic acquisition of lexical information from corpora is starting to produce large-scale computational lexicons containing data on the relative frequencies of subcategorisation alternatives for individual verbal predicates. However,
Briscoe, Ted   +2 more
core   +1 more source

Optimizing directly executable LR parsers [PDF]

open access: yes, 1991
Traditionally, LR parsers are implemented as table interpreters. A parser generator creates tables whose entries are interpreted by the parser driver. Recent research shows that much faster LR parsers can be obtained by converting the table entries into directly executed code.
openaire   +1 more source

The parser generator as a general purpose tool [PDF]

open access: yes
The parser generator has proven to be an extremely useful, general purpose tool. It can be used effectively by programmers having only a knowledge of grammars and no training at all in the theory of formal parsing. Some of the application areas for which
Collins, W. R., Noonan, R. E.
core   +1 more source

CHR as grammar formalism. A first report

open access: yes, 2001
Grammars written as Constraint Handling Rules (CHR) can be executed as efficient and robust bottom-up parsers that provide a straightforward, non-backtracking treatment of ambiguity.
Christiansen, Henning
core  

The Mystro system: A comprehensive translator toolkit [PDF]

open access: yes
Mystro is a system that facilities the construction of compilers, assemblers, code generators, query interpretors, and similar programs. It provides features to encourage the use of iterative enhancement.
Collins, W. R., Noonan, R. E.
core   +1 more source

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