Results 21 to 30 of about 182,970 (219)

COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets

open access: yesFrontiers in Systems Neuroscience, 2021
Recent neurocognitive models commonly consider speech perception as a hierarchy of processes, each corresponding to specific temporal scales of collective oscillatory processes in the cortex: 30–80 Hz gamma oscillations in charge of phonetic analysis, 4 ...
Mamady Nabé   +3 more
doaj   +1 more source

Research on the Top-Down Parsing Method for Context-Sensitive Graph Grammars. [PDF]

open access: yesPLoS ONE, 2015
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses the bottom-up method. The time-complexity of this method is high, and it is difficult to apply.
Yi Wang, XiaoQin Zeng, Han Ding
doaj   +1 more source

Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model

open access: yesIEEE Access, 2023
Human pose estimation has drawn extensive attention recently and there has been significant progress on it due to the rising popularity of convolutional neural networks (CNN).
Shuhena Salam Aonty   +4 more
doaj   +1 more source

Statistical Deep Parsing for Spanish: Abridged Version

open access: yesCLEI Electronic Journal, 2022
This document presents the development of a statistical HPSG parser for Spanish. HPSG is a deep linguistic formalism that combines syntactic and semantic information in the same representation, and is capable of elegantly modeling many linguistic ...
Luis Chiruzzo
doaj   +1 more source

Parsing Netlists of Integrated Circuits from Images via Graph Attention Network

open access: yesSensors, 2023
A massive number of paper documents that include important information such as circuit schematics can be converted into digital documents by optical sensors like scanners or digital cameras.
Wenxing Hu, Xianke Zhan, Minglei Tong
doaj   +1 more source

Less Direct, More Analytical: Eye-Movement Measures of L2 Idiom Reading

open access: yesLanguages, 2022
Idioms (e.g., break the ice, spill the beans) are ubiquitous multiword units that are often semantically non-compositional. Psycholinguistic data suggests that L1 readers process idioms in a hybrid fashion, with early comprehension facilitated by direct ...
Marco S. G. Senaldi, Debra A. Titone
doaj   +1 more source

An Interactive Interpreter for Two Dimensional Lucid

open access: yesIEEE Access, 2022
We present an initial draft of the “Luminous” interactive interpreter for a new dialect of the functional dataflow language Lucid. Luminous is not the first implementation of Lucid but it is novel in several ways.
Omar Alaqeeli, William Wadge
doaj   +1 more source

Bottom-Up Filtering [PDF]

open access: yesProceedings of the 13th conference on Computational linguistics -, 1990
In this paper, we propose an optimized strategy, called Bottom-Up Filtering, for parsing GPSGs. This strategy is based on a particular, high level, interpretation of GPSGs. It permits a significant reduction of the non-determinism inherent to the rule selection process.
Philippe Blache, Jean-Yves Morin
openaire   +2 more sources

Vowels and consonants in the brain: Evidence from the magnetoencephalographic studies on the N1m in normal-hearing listeners

open access: yesFrontiers in Psychology, 2016
Speech sound perception is one of the most fascinating tasks performed by the human brain. It involves a mapping from continuous acoustic waveforms onto the discrete phonological units computed to store words in the mental lexicon.
Anna Dora Manca, Mirko Grimaldi
doaj   +1 more source

Exploring the role of brain oscillations in speech perception in noise: Intelligibility of isochronously retimed speech

open access: yesFrontiers in Human Neuroscience, 2016
A growing body of evidence shows that brain oscillations track speech. This mechanism is thought to maximise processing efficiency by allocating resources to important speech information, effectively parsing speech into units of appropriate granularity ...
Vincent Aubanel, Chris Davis, Jeesun Kim
doaj   +1 more source

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