Results 31 to 40 of about 15,427 (266)

A Formal Synopsis of Lambek-Montague Grammar

open access: yesPhilosophies
In the context of formal grammar we sketch a review of the smooth integration of the logical semantics of Montague with the logical syntax of Lambek: Lambek-Montague grammar.
Glyn Morrill
doaj   +1 more source

A Program for the Genetics of Grammar

open access: yesBiolinguistics, 2017
Departing from Lenneberg’s biological conception of language and its de- velopment, this paper first reviews select examples from research on lan- guage development and its interface with genetics before making some specific proposals with regard to how ...
Kenneth N. Wexler
doaj   +1 more source

Dealing with Evaluative Expressions and Hate Speech Metaphors with Fuzzy Property Grammar Systems

open access: yesAxioms, 2023
We introduce a Fuzzy Property Grammar System (FPGS), a formalism that integrates a Fuzzy Property Grammar into a linguistic grammar system to formally characterize metaphorical evaluative expressions.
Adrià Torrens-Urrutia   +2 more
doaj   +1 more source

Equivalence of computations in actor grammars

open access: yesTheoretical Computer Science, 1993
Actor grammars were introduced by \textit{D. Janssens} and \textit{G. Rozenberg} [Lect. Notes Comput. Sci. 291, 280-298 (1987; Zbl 0643.68029)] as a formal model for actor systems of \textit{C. Hewitt} [Inf. Process. 77, Proc. IFIP Congr., Toronto 1977, 987-992 (1977; Zbl 0363.68077)]. The paper approaches two main topics.
openaire   +2 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

From speech signal to syntactic structure: A computational implementation

open access: yesJournal of Language Modelling
This paper presents a new computational implementation bridging several modules of grammar from phonetics to phonology to syntax. The system takes as input a speech signal annotated with syllables, interprets the phonetic data in phonological/prosodic ...
Tina Bögel, Tianyi Zhao
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Polarity Computations in Flexible Categorial Grammar [PDF]

open access: yesProceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
This paper shows how to take parse trees in CCG and algorithmically find the polarities of all the constituents. Our work uses the well-known polarization principle corresponding to function application, and we have extended this with principles for type raising and composition.
Hai Hu 0001, Larry Moss
openaire   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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