Results 51 to 60 of about 197,254 (306)

Neural encoding of linguistic speech cues is unaffected by cognitive decline, but decreases with increasing hearing impairment

Scientific Reports
The multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech.
Elena Bolt, Nathalie Giroud
doaj   +1 more source

Linguistic Markers of Influence in Informal Interactions

, 2017
There has been a long standing interest in understanding `Social Influence' both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to study and measure interpersonal influence in daily interactions. Motivated
Black, Alan W, Bogart, Christopher, Choudhary, Samridhi, Prabhumoye, Shrimai, Rose, Carolyn Penstein, Spiliopoulou, Evangelia   +5 more
core   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Dialectology for Computational Linguists

, 2021
This paper provides an overview of computational work in dialectology. Wehave published similar surveys in the not-too-distant past (Heeringa and Prokic,2018; Wieling and Nerbonne, 2015), but these were aimed at dialectologists andgeneral linguists, respectively.
Nerbonne, J., Heeringa, W., Prokic, J., Wieling, M.   +3 more
openaire   +5 more sources

Computational coverage of type logical grammar: The Montague test [PDF]

, 2016
It is nearly half a century since Montague made his contributions to the field of logical semantics. In this time, computational linguistics has taken an almost entirely statistical turn and mainstream linguistics has adopted an almost entirely non ...
Morrill, Glyn, Valentín Fernández Gallart, José Oriol   +1 more
core  

Generating Politically-Relevant Event Data

, 2016
Automatically generated political event data is an important part of the social science data ecosystem. The approaches for generating this data, though, have remained largely the same for two decades.
Beieler, John
core   +1 more source

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources [PDF]

, 2021
Swapnil Hingmire, Irene Li, Rena Kawamura, Bowen Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas F. George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish Keshav Palshikar, Dragomir Radev   +13 more
openalex   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Computational linguistics : a brief introduction [PDF]

, 1994
Computationai Linguistics is an interdisciplinary field of study that encornpasses knowledge rnainly from three areas: Linguistics, Computer Science and Logic.
Espunya i Prat, Anna
core   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source