Results 261 to 270 of about 2,167,152 (317)

Feature Weighted Linguistics Classifier for Predicting Learning Difficulty Using Eye Tracking

open access: closedACM Transactions on Applied Perception, 2020
This article presents a new approach to predict learning difficulty in applications such as e-learning using eye movement and pupil response. We have developed 12 eye response features based on psycholinguistics, contextual information processing ...
Saurin Parikh, Hari Kalva
openalex   +2 more sources

STATISTICAL AND LINGUISTIC FEATURES OF DNA SEQUENCES

Fractals, 1995
We present evidence supporting the idea that the DNA sequence in genes containing noncoding regions is correlated, and that the correlation is remarkably long range—indeed, base pairs thousands of base pairs distant are correlated. We do not find such a long-range correlation in the coding regions of the gene.
Ary L. Goldberger   +8 more
openaire   +4 more sources

Domain generated algorithms detection applying a combination of a deep feature selection and traditional machine learning models

Journal of computing and security, 2022
The use of command and control (C2) servers in cyberattacks has risen considerably, attackers frequently employ the domain generated algorithm (DGA) technique to conceal their C2 servers.
Mohamed Hassaoui   +2 more
semanticscholar   +1 more source

Linguistic Features for Subjectivity Classification

2012 International Conference on Asian Language Processing, 2012
Opinions are subjective expressions that describe people's viewpoints, perspectives or feelings about entities, events and theirs properties. Detecting subjective expressions is the task of identifying whether a given text is subjective (i.e. an opinion)or objective (i.e. a reports fact).
Huong Nguyen Thi Xuan   +2 more
openaire   +2 more sources

SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection

Neural Information Processing Systems
Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from generative AI models. Existing ADD models suffer from generalization issues, with a large performance discrepancy between in-domain and out-of-domain data. Moreover,
Yi Zhu   +3 more
semanticscholar   +1 more source

Linguistic Features of the Oral Narratives [PDF]

open access: possible, 2014
We previously discussed how sociolinguistic variables and topic can affect the way a person speaks, narrates and interacts with other speakers. Undoubtedly, there are devices typical of all narrative genres and narrations, but there are nonetheless genre-specific ones.
openaire   +1 more source

Linguistic Features of the Language of Schooling [PDF]

open access: possibleLinguistics and Education, 2001
Abstract This article provides an analysis of some linguistic features of school-based texts, relating the grammatical and lexical choices of the speaker/writer to the functions that language performs in school contexts. Broadly speaking, the context of schooling requires that students read and write texts that present information authoritatively in ...
openaire   +1 more source

Linguistic features of dysfluencies in Parkinson Disease

Journal of Fluency Disorders, 2021
The purpose of this study was to examine dysfluency characteristics of individuals with Parkinson Disease (PD) relative to linguistic features of grammatical class and position within word. Few studies have reported dysfluency characteristics of PD relative to these characteristics.
Angela E. Reif, Alexander M. Goberman
openaire   +3 more sources

Linguistics-Vision Monotonic Consistent Network for Sign Language Production

IEEE International Conference on Acoustics, Speech, and Signal Processing
Sign Language Production (SLP) aims to generate sign videos corresponding to spoken language sentences, where the conversion of sign Glosses to Poses (G2P) is the key step.
Xu Wang   +5 more
semanticscholar   +1 more source

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