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AlexNet Model for Sign Language Recognition
In recent years, for recognizing sign language, several hardware approaches have been developed using the leap motion controller and Kinect sensors....
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Probing Cross-lingual Transfer of XLM Multi-language Model
This paper investigates the ability of XLM language model to transfer linguistic knowledge cross-lingually, verifying if and to which extent...
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Digital Muhadathah: Framework Model Development for Digital Arabic Language Learning
In recent years, the massive expansion of actualizing digital platform as the medium to transmit the information from the supplier to receiver has...
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Sign Detection Using an N-Gram Language Model and MobileNet
Typically a human being has no trouble communicating with each other through speech, gestures, body language, reading, and writing. However, people...
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Transformer-Based Named Entity Recognition Model—Tamil Language
This work presents different transformer-based approaches to the named entity recognition problem in the Tamil language. The WikiANN-ta dataset is...
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A Language Prompt Model for Architectural Aesthetics
Our main concern with AI and architecture is that AI will ultimately mimic what we call creativity even though it remains a black box of the type...
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A Cellular Automaton Model for Language Shift in Algeria
We are interested in develo** a language shift model in the case of Algeria using two-dimensional cellular automata. Our model takes into account...
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Proposed Model for Automatic Dialect Classification of Binjhal Language
India is a multilingual country, where more than 8.6% of tribal people reside in India. The Web’s adoption of text-based Binjhal dialects has...
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Research on Vehicle Retention Rate Prediction Combined with Pre-Trained Language Model
The used vehicle trading market is a huge market. In which the value retention rate is an important indicator that directly affects the transaction...
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A Bert Model with Deep Learning Approach in Natural Language Processing (NLP)
Sentiment analysis is a branch of natural language processing (NLP). It entails determining the polarity of a corpus, typically a corpus of writing....
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Multiple-Emotion Recognition in Gujarati Language Using Natural Language Processing
Understanding emotions when we talk to computers is essential and is an important aspect of human–computer interaction, and it has been widely...
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Effective Use of Knowledge Graphs in a Language Representation Model
Methods such as knowledge-enabled language representation model (K-BERT) that help train models using external information, such as knowledge graphs,...
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Can a Large Language Model Generate Plausible Business Cases from Agent-Based Simulation Results?
This paper describes new applications of a Large Language Model (LLM) for business domains. So far, we have conducted research on agent-based...
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Multi-branch Deep Neural Model for Natural Language-Based Vehicle Retrieval
Natural language interfaces (NLIs) have seen tremendous popularity in recent times. The utility of natural language descriptions for identifying...
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A Model of the Influence of Network Language on Chinese Language and Culture Based on Particle Swarm Optimization
As an important manifestation of network culture, the generation and dissemination of network buzzwords are of great significance to reflect the...
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Fuzzing IoT Devices via Android App Interfaces with Large Language Model
Most of the current automated testing methods for IoT devices rely on firmware analysis and firmware emulation. However, due to the diverse...
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A Natural Language Understanding Sequential Model for Generating Queries with Multiple SQL Commands
With the increasing amount of textual data and the growing demand for data-driven decision-making, automated SQL generation systems have gained...
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A New Model for the Arabic Language Based on the Semantic Representation of Words and Sentences
We addressed, in this work, the problem of develo** a new computerized model for the Arabic language. Language modeling is crucial in modern NLP...
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Can Large Language Model Surprisal Capture the Informativity Bias in Human Language Processing?
Surprisal as a general theory of human sentence processing proposes that the processing difficulty of a word is inversely proportional to its...
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Sign Language Recognition Using Long Short-Term Memory Deep Learning Model
This paper aims to present an easy way of communication for speech impaired and hearing impaired people. This paper focuses on the use of neural...