Results 61 to 70 of about 59,222 (317)

Beyond error-driven adaptation: proactive validation as a goal-directed mechanism of language processing and learning

open access: yesFrontiers in Language Sciences
Recent advances in psycholinguistics increasingly frame language processing as a predictive process: listeners and readers continuously anticipate upcoming linguistic input.
Julia Edeleva
doaj   +1 more source

Digitalization of services to improve the quality of social infrastructure

open access: yesπ-Economy, 2022
The article substantiates the possibility of involving the population to participate in improving the quality of the urban environment in the context of digital transformation.
Kurcheeva Galina, Kopylov Victor
doaj   +1 more source

A corpus-based connectionist architecture for large-scale natural language parsing

open access: yes, 2002
We describe a deterministic shift-reduce parsing model that combines the advantages of connectionism with those of traditional symbolic models for parsing realistic sub-domains of natural language.
Palmer-Brown, D, Tepper, JA, Powell, HM
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

Chomsky-Schützenberger parsing for weighted multiple context-free languages

open access: yesJournal of Language Modelling, 2017
We prove a Chomsky-Schützenberger representation theorem for multiple context-free languages weighted over complete commutative strong bimonoids. Using this representation we devise a parsing algorithm for a restricted form of those devices.
Tobias Denkinger
doaj   +1 more source

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

open access: yesAdvanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis   +7 more
wiley   +1 more source

STUDI ANALISIS METODE-METODE PARSING DAN INTERPRETASI SEMANTIK PADA NATURAL LANGUAGE PROCESSING

open access: yesJurnal Informatika, 2001
Three main processes in Natural Language Processing are syntax analysis or parsing, semantic interpretation and contextual interpretation. This paper discuss about the first and the second of these processes.
James Suciadi
doaj  

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Annotating a Low-Resource Language with LLOD Technology: Sumerian Morphology and Syntax

open access: yesInformation, 2018
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancient ...
Christian Chiarcos   +8 more
doaj   +1 more source

Decreasing lexical data sparsity in statistical syntactic parsing - experiments with named entities [PDF]

open access: yes, 2011
In this paper we present preliminary experiments that aim to reduce lexical data sparsity in statistical parsing by exploiting information about named entities.
Foster, Jennifer   +2 more
core  

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