Results 61 to 70 of about 55,011 (275)

A Stochastic Finite-State Word-Segmentation Algorithm for Chinese

open access: yes, 1994
We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the method incorporates a class-based model in its treatment of personal names ...
Chang, Nancy   +3 more
core   +2 more sources

Disordered Carbon Shells Enable Shape Dependent Fluorescence Enhancement in Nanodiamond Quantum Sensors Revealed by Correlative TEM–Fluorescence Microscopy

open access: yesAdvanced Functional Materials, EarlyView.
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar   +10 more
wiley   +1 more source

An Analysis of the Hanyu Pinyin Errors of the Indonesian Students

open access: yesLingua Cultura, 2013
Pinyin is a valuable tool for students who learn Chinese as a second language. Through years of teaching practice and observation, some errors in Indonesian students’ understanding and using in Pinyin were summed up, including the phonetic alphabet ...
Fu Ruomei
doaj   +3 more sources

MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition

open access: yesIEEE Access, 2019
Chinese Named Entity Recognition (Chinese NER) is an important task in Chinese natural language processing field. It is difficult to identify the boundary of entities because Chinese texts lack natural delimiters to separate words.
Naixin Zhang   +3 more
doaj   +1 more source

Applying the Bell’s Test to Chinese Texts

open access: yesEntropy, 2020
Search engines are able to find documents containing patterns from a query. This approach can be used for alphabetic languages such as English. However, Chinese is highly dependent on context.
Igor A. Bessmertny   +4 more
doaj   +1 more source

Neural Word Segmentation with Rich Pretraining

open access: yes, 2017
Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such ...
Dong, Fei, Yang, Jie, Zhang, Yue
core   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

Chinese word segmentation in MSR-NLP [PDF]

open access: yesProceedings of the second SIGHAN workshop on Chinese language processing -, 2003
Word segmentation in MSR-NLP is an integral part of a sentence analyzer which includes basic segmentation, derivational morphology, named entity recognition, new word identification, word lattice pruning and parsing. The final segmentation is produced from the leaves of parse trees.
openaire   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

open access: yesAdvanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno   +16 more
wiley   +1 more source

Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks

open access: yesBMC Bioinformatics, 2019
Background Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks.
Xiaozheng Li   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy