Results 91 to 100 of about 1,902,940 (354)
A Layered Grammar Model: Using Tree-Adjoining Grammars to Build a Common Syntactic Kernel for Related Dialects [PDF]
Proceedings of the Ninth International Workshop on Tree Adjoining
Grammars and Related Formalisms (TAG+9 2008), p. 157-164. Tuebingen,
Baden-Wurttemberg, Germany, 6-8 June 2008, 2008 This article describes the design of a common syntactic description for the core grammar of a group of related dialects. The common description does not rely on an abstract sub-linguistic structure like a metagrammar: it consists in a single FS-LTAG where the actual specific language is included as one of the attributes in the set of attribute types ...
arxiv
Dimensionally-consistent equation discovery through probabilistic attribute grammars
Information Sciences, 2023 Jure Brence, S. Džeroski, L. Todorovski
semanticscholar +1 more source
What does it mean? Translating anatomical language to engage public audiences
Anatomical Sciences Education, EarlyView.Abstract The language of anatomy, with its roots in Ancient Greek and Roman languages, is complex and unfamiliar to many. Its complexity creates a significant barrier to public knowledge and understanding of anatomy—many members of the public find themselves asking “what does it mean?”, and this can manifest as poor health literacy and outcomes.
Kat A. Sanders, Adam M. Taylor
wiley +1 more source
Grammatic -- a tool for grammar definition reuse and modularity [PDF]
arXiv, 2009 Grammatic is a tool for grammar definition and manipulation aimed to improve modularity and reuse of grammars and related development artifacts. It is independent from parsing technology and any other details of target system implementation. Grammatic provides a way for annotating grammars with arbitrary metadata (like associativity attributes ...
arxiv
Autism Research, EarlyView.ABSTRACT Syntactic processing in both language and music involves combining elements—such as words or chords—into coherent structures. The Shared Syntactic Integration Resource Hypothesis (SSIRH) was introduced based on observations of similar neural responses to syntactic violations across both domains.
Jiayin Li +7 more
wiley +1 more source
Neural Attribute Machines for Program Generation [PDF]
arXiv, 2017 Recurrent neural networks have achieved remarkable success at generating sequences with complex structures, thanks to advances that include richer embeddings of input and cures for vanishing gradients. Trained only on sequences from a known grammar, though, they can still struggle to learn rules and constraints of the grammar. Neural Attribute Machines
arxiv
Attribute grammars are useful for combinatorics
Theoretical Computer Science, 1992 AbstractThe purpose of this paper is to show the use of attribute grammars in solving some combinatorics problems. For example, we give the generating function for the shape of skew Ferrers diagrams according to the number of cells and the number of columns.
Maylis Delest, Jean-Marc Fédou
openaire +2 more sources
Biotechnology and Applied Biochemistry, EarlyView.ABSTRACT This work presents the pioneering development of an aptamer‐based electrochemical biosensor for real‐time monitoring of parathyroid hormone (PTH) levels, with a focus on intraoperative assessment during parathyroid surgery. It introduces, for the first time, the selection and characterization of aptamers targeting distinct segments of the PTH ...
Reza Didarian +5 more
wiley +1 more source
ARTEMIS: State of the Art and Future Horizons
Revista de Lenguas para Fines Específicos, 2017 The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based System) is a prototype intended to process natural language within the environment of the Functional Grammar Knowledge Base (FunGramKB) (Periñán-Pascual ...
Ana Díaz Galán +1 more
doaj
, 1998 Projet OSCARThe deforestation of a functional program is a transformation which gets rid ofintermediate data structures constructions that appear when two functions are composed.
Correnson, Loïc +3 more
core +2 more sources