Results 131 to 140 of about 2,559,382 (283)

Unsupervised Training for Overlapping Ambiguity Resolution in

open access: yes, 2003
This paper proposes an unsupervised training approach to resolving overlapping ambiguities in Chinese word ...
Changning Huang   +3 more
core  

A Boundary-Oriented Chinese Segmentation Method Using NGram\ud Mutual Information [PDF]

open access: yes, 2010
This paper describes our participation\ud in the Chinese word segmentation task\ud of CIPS-SIGHAN 2010. We implemented\ud an n-gram mutual information\ud (NGMI) based segmentation algorithm\ud with the mixed-up features from unsupervised,\ud supervised ...
Tang, Ling-Xiang   +3 more
core  

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

open access: yesAdvanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke   +32 more
wiley   +1 more source

A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
Pek Jun Tiw and co‐workers develop a reconfigurable memristive neuron that can exhibit four spiking behaviors with freely tunable spike train parameters. The neuron supports multiplexed spike encoding of multiple pieces of information. It also supports advanced neural network strategies, such as neural heterogeneity and dynamic mode switching ...
Pek Jun Tiw   +6 more
wiley   +1 more source

A Compression-based Algorithm for Chinese Word Segmentation

open access: yesComputational Linguistics, 2021
W. J. Teahan   +3 more
doaj   +1 more source

SYSTRAN’s Chinese Word Segmentation

open access: yes, 2008
SYSTRAN’s Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules.
Jean Senellart, Jin Yang, Remi Zajac
core  

Minimally-Supervised Morphological Segmentation using Adaptor Grammars [PDF]

open access: yes, 2013
This paper explores the use of Adaptor Grammars, a nonparametric Bayesian modelling framework, for minimally supervised morphological segmentation. We compare three training methods: unsupervised training, semi-supervised training, and a novel model ...
Sirts, Kairit   +1 more
core  

Precisely Regulating 2.45 s Pure Blue Room‐Temperature Phosphorescence via Supramolecular Coordination

open access: yesAdvanced Science, EarlyView.
Herein, a pure deep blue room‐temperature phosphorescence (415 nm) with lifetime up to 2.45 s is successfully achieved by a covalently crosslinking purely organic material based on boric acid (BA) and 3,5‐dicarboxyphenylboronic acid (BOP) through a simple dehydration reaction, which can be adjusted precisely by supramolecular coordination with ...
Jun Wang   +5 more
wiley   +1 more source

Automatic Extraction of New Words based on Google News Corpora for Supporting Lexicon-based Chinese Word Segmentation Systems

open access: yes, 2013
[[abstract]]Chinese word segmentation is an essential step in a processing of Chinese natural language because it is beneficial to the Chinese text mining and information retrieval.
C. M. Hong;C. M. Chen;C. Y. Chiu
core  

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces

open access: yesAdvanced Science, EarlyView.
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy