Results 31 to 40 of about 241,430 (313)

Linking speech perception and neurophysiology: speech decoding guided bycascaded oscillators locked to the input rhythm

open access: yesFrontiers in Psychology, 2011
The premise of this study is that current models of speech perception, which are driven by acoustic features alone, are incomplete, and that the role of decoding time during memory access must be incorporated to account for the patterns of observed ...
Oded eGhitza
doaj   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

P Colony Automata with LL(k)-like Conditions [PDF]

open access: yes, 2018
We investigate the possibility of the deterministic parsing (that is, parsing without backtracking) of languages characterized by (generalized) P colony automata.
Csuhaj Varjú, Erzsébet   +2 more
core  

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

open access: yesAdvanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu   +10 more
wiley   +1 more source

Statistical parsing of morphologically rich languages (SPMRL): what, how and whither [PDF]

open access: yes, 2010
The term Morphologically Rich Languages (MRLs) refers to languages in which significant information concerning syntactic units and relations is expressed at word-level. There is ample evidence that the application of readily available statistical parsing
Candito, Marie   +8 more
core   +2 more sources

(In)variability in the Samoan syntax/prosody interface and consequences for syntactic parsing

open access: yesLaboratory Phonology, 2017
While it has long been clear that prosody should be part of the grammar influencing the action of the syntactic parser, how to bring prosody into computational models of syntactic parsing has remained unclear.
Kristine Yu
doaj   +2 more sources

From Brittle to Flexible: Influence of Glucose‐Based Additives on Cellulose Nanocrystal Self‐Assembly in Suspension and Dried Photonic Films

open access: yesAdvanced Optical Materials, EarlyView.
Cellulose nanocrystals (CNCs) self‐assemble in aqueous suspension into chiral nematic liquid crystals, resulting in structurally colored films upon drying. Here, the influence of sugar additives on CNC self‐assembly in suspension and in films are studied.
Buse Tatli   +5 more
wiley   +1 more source

LFG without C-structures [PDF]

open access: yes, 2010
We explore the use of two dependency parsers, Malt and MST, in a Lexical Functional Grammar parsing pipeline. We compare this to the traditional LFG parsing pipeline which uses constituency parsers.
Cahill, Aoife   +5 more
core   +1 more source

How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on Rule-Based Sentiment Analysis

open access: yes, 2017
Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language text or speech.
Alonso-Alonso, Iago   +2 more
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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