Results 51 to 60 of about 6,494,144 (323)

'By the People' Crowdsourcing Datasets from the Library of Congress

Journal of Open Humanities Data, 2022
The 'By the People' ('BTP') datasets comprise text of selected collections of the Library of Congress (LOC) created by volunteers in the 'By the People' crowdsourced transcription program, which invites public transcription of historical documents.
Victoria Van Hyning, Lauren Algee, Mason Jones, Carlyn Osborn, Trevor Owens, Lauren Seroka, Abby Shelton   +6 more
doaj   +1 more source

Spanish socio-historical linguistics: isolation and contact Advances in historical sociolinguistics ;, v. 12./ edited by Whitney Chappell, Bridget Drinka.

, 2021
The present volume is a selection of papers inspired by the panel "Spanish Socio-historical linguistics: Isolation and Contact," organized by the co-editors for the 23rd International Conference on Historical Linguistics in San Antonio, Texas, in 2017 ...
Drinka Bridget, Chappell Whitney
core  

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

How accurate and robust are the phylogenetic estimates of Austronesian language relationships?

PLoS ONE, 2010
We recently used computational phylogenetic methods on lexical data to test between two scenarios for the peopling of the Pacific. Our analyses of lexical data supported a pulse-pause scenario of Pacific settlement in which the Austronesian speakers ...
Simon J Greenhill, Alexei J Drummond, Russell D Gray   +2 more
doaj   +1 more source

Towards Detecting Lexical Change of Hate Speech in Historical Data

, 2023
Hoeken S, Spliethoff S, Schwandt S, Zarrieß S, Alaçam Ö. Towards Detecting Lexical Change of Hate Speech in Historical Data. In: Tahmasebi N, ed. Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change.
Tahmasebi, Nina, Hoeken, Sanne, Zarrieß, Sina, Spliethoff, Sophie, Alaçam, Özge, Schwandt, Silke ; https://orcid.org/   +5 more
core   +1 more source

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

Advanced 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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Sequence Comparison in Computational Historical Linguistics Phonetic Alignments and Cognate Detection with LingPy 2.6

, 2018
With increasing amounts of digitally available data from all over the world, manual annotation of cognates in multilingual word lists becomes more and more time-consuming in historical linguistics. Using available software packages to pre-process the data prior to manual analysis can drastically speed up the process of cognate detection.
Johann‐Mattis List, Mary Walworth, Simon J. Greenhill, Tiago Tresoldi, Robert Forkel   +4 more
openalex   +3 more sources

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source

Artificial intelligence in history education. Linguistic content and complexity analyses of student writings in the CAHisT project (Computational assessment of historical thinking)

Computers and Education: Artificial Intelligence, 2021
Abstract The use of standardized test formats in the assessment of historical competencies has recently come under severe criticism, especially in the United States, where standardized tests are particularly common. History researchers have argued that open-ended items are more appropriate for assessment.
Christiane Bertram, Zarah Weiss, Lisa Zachrich, Ramon Ziai   +3 more
openaire   +1 more source