Results 61 to 70 of about 938 (162)

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 55-65, February 2026.
ABSTRACT Increased awareness of Tibetan cultural preservation, along with technological advancements, has led to significant efforts in academic research on Tibetan. However, the structural complexity of the Tibetan language and limited labeled handwriting data impede advancements in Optical Character Recognition (OCR) and other applications.
Dorje Tashi, Bingtian Chen, Tianying Sheng, Yongbin Yu, Xiangxiang Wang, Jin Zhang, Lobsang Yeshi, Rinchen Dongrub, Thupten Tsering, Nyima Tashi   +9 more
wiley   +1 more source

LSE-FS-UVigo Dataset and Keypoint-Based Fingerspelling Recognition

IEEE Access
Continuous fingerspelling recognition remains a challenging task due to rapid hand and finger movements, coarticulation, and the limited availability of annotated data across sign languages. We introduce LSE-FS-UVigo, the first open dataset of continuous
Jose Luis Ruanova-Lea, Jose Luis Alba-Castro, Laura Docio-Fernandez   +2 more
doaj   +1 more source

Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering [PDF]

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed. In SLD, the events and the order of events in audio clips are known, without knowing the occurrence time of events.
Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley   +3 more
openaire   +3 more sources

Which Words Are Special? Identification of “Sight” Words in Educational Resources

Reading Research Quarterly, Volume 61, Issue 1, January/February/March 2026.
We examined the overlap in words and properties in the contents of six commonly used word lists designed to support early word reading skills. The resources overlapped very little in their contents, including dramatic variation in terms of the properties of the words included in each.
Matthew J. Cooper Borkenhagen, Lauren P. Schilling, Mark S. Seidenberg   +2 more
wiley   +1 more source

Hybrid Deep Learning Frameworks for License Plate Recognition in Complex Environments: A Comprehensive Survey and Research Outlook

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This survey systematically reviews state‐of‐the‐art license plate recognition methods, with a focus on hybrid CNN‐transformer frameworks and the joint optimisation of detection and recognition for real‐world deployment. It further analyses existing datasets, highlights persistent challenges, such as domain generalisation, and outlines pathways towards ...
SanXing Deng, Ewe Lay Sheng, Tiong Sieh Kiong, MengMeng Yang   +3 more
wiley   +1 more source

Uncertainty‐Aware Processing for OCR Using Dictionary Routing and Candidate Selection

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This paper proposes an Uncertainty‐Aware Processing (UAP) framework that reduces the Character Error Rate (CER) without additional training or inference. The method calculates two metrics using the results of Connectionist Temporal classification (CTC). These two metrics are used to estimate a character‐level uncertainty.
Gi Hoon Kim, JiU Bak, Hyunguk Choi
wiley   +1 more source

Focal CTC Loss for Chinese Optical Character Recognition on Unbalanced Datasets

Complexity, 2019
In this paper, we propose a novel deep model for unbalanced distribution Character Recognition by employing focal loss based connectionist temporal classification (CTC) function.
Xinjie Feng, Hongxun Yao, Shengping Zhang   +2 more
doaj   +1 more source

The Agent Preference in Ontogeny: Predictability of Agent and Patient Roles in Child‐Directed Utterances Across Languages

Cognitive Science, Volume 50, Issue 1, January 2026.
Abstract Language comprehension unfolds incrementally, requiring listeners to continually predict and revise interpretations. Comprehenders across very diverse languages show a consistent preference for agents, anticipating the agent (“the doer” of an action) more strongly than the patient (“the undergoer”). An unresolved question is how the preference
Eva Huber, Aylin C. Küntay, Balthasar Bickel, Sabine Stoll   +3 more
wiley   +1 more source