Deep Learning Model for Identifying the Arabic Language Learners based on Gated Recurrent Unit Network

Mechti, Seifeddine; Alroobaea, Roobaea; Krichen, Moez; Rubaiee, Saeed; Ahmed, Anas

doi:10.14569/ijacsa.2020.0110576

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Our experimentation presented in Table6showed that our results on the same corpora are comparable to those obtained in this study (0.52 vs 0.55) 3. www.eqla3.com…”

supporting

confidence: 85%

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A decision system for computational authors profiling: From machine learning to deep learning

Mechti

Krichen

Noureddine

et al. 2020

Concurrency and Computation

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In this study, we tackle the problem of author profiling. The aim of the proposed approach is to determine the author's age and gender. Once the user connects to the company website, this company collects the available data about him (which is usually very limited). Then, the user receives a service recommendation according to his gender and age. Thus, a context-specific decision-making system based on these limited data is required to produce an efficient classification. Such a decision system allows companies to promote their marketing. To obtain the best categorization, machine learning (ML) and deep learning (DL) techniques have been applied in the literature. In this article, we apply both classical ML techniques and recently developed DL techniques. More precisely, we adopt the gated recurrent unit model. Our experiments show that our findings are positively comparable with the best state-of-the-art methods.

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“…Our experimentation presented in Table6showed that our results on the same corpora are comparable to those obtained in this study (0.52 vs 0.55) 3. www.eqla3.com…”

supporting

confidence: 85%

“…Many works concentrated on the categorization of texts and more exactly on the recognition of the gender, the age and the native language. 2 To detect the author profile machine learning (ML) and deep learning (DL) 3,4 techniques are used. For this purpose, it is interesting to compare these two techniques.…”

Section: Introductionmentioning

confidence: 99%

A decision system for computational authors profiling: From machine learning to deep learning

Mechti

Krichen

Noureddine

et al. 2020

Concurrency and Computation

Self Cite

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“…Regarding the detection of the mother tongue, Mechti et al [18], utilising a gated recurrent unit (GRU) network, introduced a deep learning model that can accurately identify the mother tongue of Arabic language learners, an essential aspect of language education. The primary objective of this study was to tackle the challenge of recognising the mother tongue of Arabic language learners to customise personalised language learning strategies for each learner.…”

Section: Introductionmentioning

confidence: 99%

Keystroke Dynamics as a Language Profiling Tool: Identifying Mother Tongue of Unknown Internet Users

Tsimperidis,

Grunova,

Roy

et al. 2023

Telecom

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Understanding the distinct characteristics of unidentified Internet users is helpful in various contexts, including digital forensics, targeted advertising, and user interaction with services and systems. Keystroke dynamics (KD) enables the analysis of data derived from a user’s typing behaviour on a keyboard as one approach to obtain such information. This study conducted experiments on a developed dataset that recorded samples of typing in five different mother tongues to determine Internet users’ mother tongue. Based on only a few KD features and machine learning techniques, 82% accuracy was achieved in recognising an unknown user’s mother tongue. This research highlights the potential for KD as a reliable method for identifying the mother tongue of Internet users, with implications for various applications such as improving digital forensic investigations, targeted advertising strategies, and optimising user experiences with online services.

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Deep Learning Model for Identifying the Arabic Language Learners based on Gated Recurrent Unit Network

Cited by 2 publications

References 11 publications

A decision system for computational authors profiling: From machine learning to deep learning

A decision system for computational authors profiling: From machine learning to deep learning

Keystroke Dynamics as a Language Profiling Tool: Identifying Mother Tongue of Unknown Internet Users

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