Arabic machine translation: A survey of the latest trends and challenges

Journal article

Ameur, M.S.H., Meziane, Farid and Guessoum, Ahmed 2020. Arabic machine translation: A survey of the latest trends and challenges. Computer Science Review. 38, p. 100305. https://doi.org/10.1016/j.cosrev.2020.100305
AuthorsAmeur, M.S.H., Meziane, Farid and Guessoum, Ahmed
Abstract

Given that Arabic is one of the most widely used languages in the world, the task of Arabic Machine Translation (MT) has recently received a great deal of attention from the research community. Indeed, the amount of research that has been devoted to this task has led to some important achievements and improvements. However, the current state of Arabic MT systems has not reached the quality achieved for some other languages. Thus, much research work is still needed to improve it. This survey paper introduces the Arabic language, its characteristics, and the challenges involved in its translation. It provides the reader with a full summary of the important research studies that have been accomplished with regard to Arabic MT along with the most important tools and resources that are available for building and testing new Arabic MT systems. Furthermore, the survey paper discusses the current state of Arabic MT and provides some insights into possible future research directions.

KeywordsNatural language processing; Machine Translation; Arabic Machine Translation; Arabic language; Deep learning
Year2020
JournalComputer Science Review
Journal citation38, p. 100305
PublisherElsevier
ISSN15740137
Digital Object Identifier (DOI)https://doi.org/10.1016/j.cosrev.2020.100305
Web address (URL)http://hdl.handle.net/10545/625192
hdl:10545/625192
Publication dates15 Sep 2020
Publication process dates
Deposited23 Sep 2020, 08:14
Accepted04 Sep 2020
Rights

© 2020 Elsevier Inc. All rights reserved.

ContributorsUniversity of Science and Technology Houari Boumediene (USTHB), Algeria and University of Derby
File
File Access Level
Open
File
Permalink -

https://repository.derby.ac.uk/item/94yq9/arabic-machine-translation-a-survey-of-the-latest-trends-and-challenges

Log in to edit

Download files

  • 217
    total views
  • 305
    total downloads
  • 6
    views this month
  • 5
    downloads this month

Export as

Related outputs

Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification
Abdi, A., Melhem, W. and Meziane, F. 2024. Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification. Applied Sciences. 14 (23), pp. 1-21. https://doi.org/10.3390/app142311009
Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs
Melhem, W., Abdi, A. and Meziane, F. 2024. Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs. 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0013066900003838
Unequal-Radius Clustering in WSN-Based IoT Networks : Energy Optimization and Load Balancing in UDCOPA Protocol
Mir, F. and Meziane, F. 2024. Unequal-Radius Clustering in WSN-Based IoT Networks : Energy Optimization and Load Balancing in UDCOPA Protocol. The Journal of Supercomputing. pp. 1-32. https://doi.org/10.1007/s11227-024-06426-w
Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol
Mir, F., Meziane, F., Bounceur, A. and Laouid, A. 2024. Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol. 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE Computer Society. https://doi.org/10.1109/PAIS62114.2024.10541142
EDCOPA : Enhancing DCOPA Protocol by Exploring New Criteria for Improved Clustering
Mir, F., Bounceur, A. and Meziane, F. 2024. EDCOPA : Enhancing DCOPA Protocol by Exploring New Criteria for Improved Clustering. Proceedings of the 7th International Conference on Future Networks and Distributed Systems (ICFNDS '23). ACM Press. https://doi.org/10.1145/3644713.36448
Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function
Hasan, A.M., Khalaf, M., Sabbar, B.M., Ibrahim, R.W., A. Jalab, H.A. and Meziane, F. 2024. Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function. Baghdad Science Journal. 21 (12), pp. 1-11. https://doi.org/10.21123/bsj.2024.9286
LICA-CS: Efficient Lossless Image Compression Algorithm via Column Subtraction Model
Al Qerom, M., Otair, M., Meziane, F., AbdulRahman, S. and Alzubi, M. 2024. LICA-CS: Efficient Lossless Image Compression Algorithm via Column Subtraction Model. Journal of Robotics and Control. 5 (5), pp. 1311-3121. https://doi.org/10.18196/jrc.v5i5.21834
A graph based named entity disambiguation using clique partitioning and semantic relatedness
Belalta, R., Belazzoug, M. and Meziane, F. 2024. A graph based named entity disambiguation using clique partitioning and semantic relatedness. Data and Knowledge Engineering. pp. 1-27. https://doi.org/10.1016/j.datak.2024.102308
Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization
Asogbon, M.G., Samuel, O., Meziane, F., Li, G. and Li, Y. 2024. Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization. 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012373400003657
Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease Using Deep Learning: A Comprehensive Analysis
Sami, N., Makkar, A., Meziane, F. and Conway, M. 2024. Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease Using Deep Learning: A Comprehensive Analysis. International Conference on Recent Trends in Image Processing and Pattern Recognition. Springer. https://doi.org/10.1007/978-3-031-53085-2_17
Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks
Mir, F. and Meziane, F. 2024. Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks. Expert Systems with Applications. 247, pp. 1-23. https://doi.org/10.1016/j.eswa.2024.123212
Molecular subtypes classification of breast cancer in DCE-MRI using deep features
Hasan, A.M., Al-Waely, N.K.N., Aljobouri, H.K., Jalab, H.A., Ibrahim, R.W. and Meziane, F. 2024. Molecular subtypes classification of breast cancer in DCE-MRI using deep features. Expert Systems with Applications. 236, pp. 1-8. https://doi.org/10.1016/j.eswa.2023.121371
Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging
Hasan, A.M., Aljobouri, H.K., Al-Waely, K.N.A., Ibrahim, W.I., Jalab, H.A. and Meziane, F. 2023. Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging. Neural Computing and Applications. pp. 1-14. https://doi.org/10.1007/s00521-023-08909-y
Unequal Clustering Protocol in IoT Networks Based on Multiple Criteria Processing
Mir, F. and Meziane, F. 2023. Unequal Clustering Protocol in IoT Networks Based on Multiple Criteria Processing. 6th International Conference on Information Science and Systems (ICISS 2023). ACM Press.
Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion
Hasan, A.M., Al-Waely, N.K.N., Ajobouri, H.K., Ibrahim, R.W., Jalab, H.A. and Meziane, F. 2023. Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion. Biomedical Signal Processing and Control. 84, pp. 1-12. https://doi.org/10.1016/j.bspc.2023.105002
The Impact of Arabic Diacritization on Word Embeddings
Abbache, M., Abbache, A., Xu, J.W., Meziane, F. and Wen, X.B. 2023. The Impact of Arabic Diacritization on Word Embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing . pp. 1-32. https://doi.org/10.1145/3592603
A review of the generation of requirements specification in natural language using objects UML models and domain ontology
Abdalazeima, Alaa and Meziane, Farid 2021. A review of the generation of requirements specification in natural language using objects UML models and domain ontology. Procedia Computer Science. 189, pp. 328-334. https://doi.org/10.1016/j.procs.2021.05.102
Mitigation of Popularity Bias in Recommendation Systems
Karboua, S., Harrag, F., Meziane, F. and Boutadjine, A. 2022. Mitigation of Popularity Bias in Recommendation Systems. Tunisian-Algerian Joint Conference on Applied Computing. Constantine, Algeria 14 - 15 Dec 2022
Describing Pulmonary Nodules Using 3D Clustering
Al-Funjan, A., Farid Meziane and Aspin, R. 2022. Describing Pulmonary Nodules Using 3D Clustering. Advanced Engineering Research. 22 (3), pp. 261-271. https://doi.org/10.23947/2687-1653-2022-22-3-261-271
Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach
Swee, C.P., Labadin, J. and Meziane, F. 2022. Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach. Journal of Computing and Social Informatics. 1 (2), pp. 1-16. https://doi.org/10.33736/jcsi.4761.2022
DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications
Mir, F. and Meziane, F. 2022. DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications. Cluster Computing. 26, p. 1077–1098. https://doi.org/10.1007/s10586-022-03741-w
Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm
Almomani, Ammar, Nawasrah, Ahmad Al, Alauthman, Mohammad, Betar, Mohammed Azmi Al and Meziane, Farid 2021. Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm. International Journal of Ad Hoc and Ubiquitous Computing. 36 (1), p. 50. https://doi.org/10.1016/j.cosrev.2020.100305
MRI brain classification using the quantum entropy LBP and deep-learning-based features
Hasan, Ali M., Jalab, Hamid A., Ibrahim, Rabha W., Meziane, Farid, AL-Shamasneh, Ala’a R. and Obaiys, Suzan J. 2020. MRI brain classification using the quantum entropy LBP and deep-learning-based features. Entropy. 22 (9), p. 1033. https://doi.org/10.3390/e22091033
Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification
Ali M. Hasan, Hamid A. Jalab, Farid Meziane, Hasan Kahtan and Ahmad Salah Al-Ahmad 2019. Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification. IEEE Access. Vol 7, pp. 79959 - 79967. https://doi.org/10.1109/access.2019.2922691
Exploring the Effects of Consumers’ Trust: A Predictive Model for Satisfying Buyers’ Expectations Based on Sellers’ Behavior in the Marketplace
Sinan S. Alsheikh, Khaled Shaalan and Farid Meziane 2019. Exploring the Effects of Consumers’ Trust: A Predictive Model for Satisfying Buyers’ Expectations Based on Sellers’ Behavior in the Marketplace. IEEE Access. Vol 7, pp. 73357 - 73372. https://doi.org/10.1109/access.2019.2917999
A Methodology for Ontology Reuse
Nur Zareen Zulkarnain and Farid Meziane 2019. A Methodology for Ontology Reuse. International Journal of Intelligent Information Technologies. Vol 15 (Issue 4), pp. 1 - 21. https://doi.org/10.4018/ijiit.2019100101
Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images
Qasim, A.F., Aspin, R., Meziane, F. and Hogg, P. 2019. Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images. Signal Processing: Image Communication. Vol 70 (Feb 2019), pp. 246-258. https://doi.org/10.1016/j.image.2018.10.007
A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in mri brain tumour
Al-Zurfi, A.N., Meziane, F. and Aspin, R. 2019. A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in mri brain tumour. 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART). Paris, France 24 - 26 Apr 2019 IEEE Xplore. https://doi.org/10.1109/biosmart.2019.8734207
Ultrasound reports standardisation using rhetorical structure theory and domain ontology
Zulkarnain, N.Z. and Meziane, F. 2019. Ultrasound reports standardisation using rhetorical structure theory and domain ontology. Journal of Biomedical Informatics: X. Vol 1 (Article: 100003). https://doi.org/10.1016/j.yjbinx.2019.100003
The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK
Alshehri, H and Meziane, F. 2018. The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK. Journal of Internet Technology and Secured Transactions. Vol 6 (Issue 1), pp. 596 - 604. https://doi.org/10.20533/jitst.2046.3723.2018.0073
Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics
Sadek, J and Meziane, F. 2018. Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics. W30 - The 3rd Workshop on Open-Source Arabic Corpora and Processing Tools: with ArabicWeb16 Data Challenge. Miyazaki, Japan 08 May 2018 LREC.
Query expansion using medical information extraction for improving information retrieval in French medical domain
Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2018. Query expansion using medical information extraction for improving information retrieval in French medical domain. International Journal of Intelligent Information Technologies. Vol 14 (Issue 3), pp. 1 - 17. https://doi.org/10.4018/ijiit.2018070101
Exploiting Past Users’ Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems
Meziane, F. 2018. Exploiting Past Users’ Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems. MDPI AG. https://doi.org/10.20944/preprints201803.0253.v1
An adaptable and personalised E-learning system applied to computer science Programmes design
Aeiad, E. and Meziane, F. 2018. An adaptable and personalised E-learning system applied to computer science Programmes design. Education and Information Technologies. Vol 24 (Issue 2), pp. 1485 - 1509. https://doi.org/10.1007/s10639-018-9836-x
Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix
Al-Zurfi, A, Meziane, F. and Aspin, R 2018. Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix. 2018 24th International Conference on Automation and Computing (ICAC). Newcastle Upon Tyne, UK 06 - 07 Sep 2018 IEEE. https://doi.org/10.23919/iconac.2018.8749072
Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm
Al-Nawasrah, A, Al-Momani, A, Meziane, F. and Alauthman, M 2018. Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm. 9th International Conference on Information and Communication Systems (ICICS). Irbid, Jordan 03 - 05 Apr 2018 IEEE Xplore. https://doi.org/10.1109/iacs.2018.8355433
Learning Causality for Arabic - Proclitics
Sadek, J. and Meziane, F. 2018. Learning Causality for Arabic - Proclitics. 4th Arabic Computational Linguistics, ACLing 2018. Dubai, UAE 17 - 19 Nov 2018 Elsevier. https://doi.org/10.1016/j.procs.2018.10.469
ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images
Qasim, A.F., Aspin, R., Meziane, F. and Hogg, P. 2018. ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools and Applications. Vol 78 (Issue 12), pp. 16433 - 16463. https://doi.org/10.1007/s11042-018-7029-7
A POS-based preordering approach for English-to-Arabic statistical machine translation
Hadj Ameur, MS, Guessoum, A and Meziane, F. 2018. A POS-based preordering approach for English-to-Arabic statistical machine translation. International Conference on Arabic Language Processing. Fez, Morocco 11 - 12 Oct 2017 Springer. https://doi.org/10.1007/978-3-319-73500-9_3
The influence of advanced and secure e-commerce environments on customers behaviour: The case of Saudis in the UK
Alshehri, H. and Meziane, F. 2018. The influence of advanced and secure e-commerce environments on customers behaviour: The case of Saudis in the UK. International Conference for Internet Technology and Secured Transactions (ICITST). Cambridge, UK 11 - 14 Dec 2017 IEEE Xplore. https://doi.org/10.23919/icitst.2017.8356411
A reversible and imperceptible watermarking scheme for MR images authentication
Qasim, A, Meziane, F. and Aspin, R 2018. A reversible and imperceptible watermarking scheme for MR images authentication. 24th International Conference on Automation and Computing (ICAC). Newcastle Upon Tyne, UK 06 - 07 Sep 2018 IEEE Xplore. https://doi.org/10.23919/iconac.2018.8749000
Arabic Query Expansion Using WordNet and Association Rules
Abbache, A, Meziane, F., Belalem, G and Belkredim, F Z 2018. Arabic Query Expansion Using WordNet and Association Rules. International Journal of Intelligent Information Technologies. https://doi.org/10.4018/ijiit.2016070104
Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development
Alshehri, H and Meziane, F. 2017. Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development. Journal of Advanced Management Science. Vol 5 (Issue 2), pp. 127-132. https://doi.org/10.18178/joams.5.2.127-132
MRI brain scan classification using novel 3-D statistical features
Hasan, A, Meziane, F., Aspin, R and Jalab, HA 2017. MRI brain scan classification using novel 3-D statistical features. Second International Conference on Internet of Things, Data and Cloud Computing. Cambridge, UK 22 - 23 Mar 2017 ACM Press.
Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions
Pozo, M, Chiky, R, Meziane, F. and Metais, E 2017. Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions. 9th International Conference, ICCCI 2017. Nicosia, Cyprus 27 - 29 Sep 2017 Springer. https://doi.org/10.1007/978-3-319-67074-4_14
Automatic ROI detection and classification of the Achilles tendon ultrasound images
Benrabha, JS and Meziane, F. 2017. Automatic ROI detection and classification of the Achilles tendon ultrasound images. 1st International Conference on Internet of Things and Machine Learning. New York, USA 17 - 18 Oct 2017 ACM Press. https://doi.org/10.1145/3109761.3158381
Arabic machine transliteration using an attention-based encoder-decoder model
Hadj Ameur, MS, Meziane, F. and Guessoum, A 2017. Arabic machine transliteration using an attention-based encoder-decoder model. 3rd International Conference on Arabic Computational Linguistics, ACLing 2017. Dubai 05 - 06 Nov 2017 Elseiver. https://doi.org/10.1016/j.procs.2017.10.120
Plantar fascia segmentation and thickness estimation in ultrasound images
Boussouar, A, Meziane, F. and Gillian Crofts 2017. Plantar fascia segmentation and thickness estimation in ultrasound images. Computerized Medical Imaging and Graphics. Vol 56, pp. 60 - 73. https://doi.org/10.1016/j.compmedimag.2017.02.001
Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review
Asaad F. Qasim, Farid Meziane and Rob Aspin 2017. Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review. Computer Science Review. Vol 27 (Feb 2018), pp. 45-60. https://doi.org/10.1016/j.cosrev.2017.11.003
Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models
AlSheikh, SS, Shaalan, S and Meziane, F. 2017. Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models. 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017. Krakow, Poland 16 - 18 Oct 2017 IEEE Xplore. https://doi.org/10.1109/besc.2017.8256364
MRI brain scan classification using novel 3-D statistical features
Hasan, A.M., Meziane, F., Aspin, R. and Jalab, H.A. 2017. MRI brain scan classification using novel 3-D statistical features. Second International Conference on Internet of Things, Data and Cloud Computing. Cambridge, UK 22 - 23 Mar 2017 Association for Computing Machinery. https://doi.org/10.1145/3018896.3036381
Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study
Hasan, A, Meziane, F. and Jalab, HA 2016. Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study. 2016 6th International Conference on Information Communication and Management (ICICM). Hatfield, UK 29 - 31 Oct 2016 IEEE Xplore. https://doi.org/10.1109/infocoman.2016.7784230
Mining the crime survey to support crime profiling
Wu, J, Meziane, F., Mohamad Saraee, Aspin, R and Hope, T 2016. Mining the crime survey to support crime profiling. 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). Reggio Calabria, Italy 27 - 28 Oct 2016 IEEE Xplore. https://doi.org/10.1109/iwcim.2016.7801189
Segmentation of brain tumors in MRI images using three-dimensional active contour without edge
Hasan, A, Meziane, F., Aspin, R and Jalab, HA 2016. Segmentation of brain tumors in MRI images using three-dimensional active contour without edge. Symmetry. Vol 8 (Issue 11, Article: 132). https://doi.org/10.3390/sym8110132
Validating the learning outcomes of an e-learning system using NLP
Aeiad, E and Meziane, F. 2016. Validating the learning outcomes of an e-learning system using NLP. Natural Language Processing and Information Systems. Vol 9612, pp. 292 - 300. https://doi.org/10.1007/978-3-319-41754-7_27
A methodology for biomedical ontology reuse
Zulkarnain, NZ and Meziane, F. 2016. A methodology for biomedical ontology reuse. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016. Salford, UK 22 - 24 Jun 2016 Springer. https://doi.org/10.1007/978-3-319-41754-7_1
An item/user representation for recommender systems based on bloom filters
Pozo, M, Chiky, R, Meziane, F. and Metais, E 2016. An item/user representation for recommender systems based on bloom filters. 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS). Grenoble, France 01 - 03 Jun 2016 IEEE Computer Society. https://doi.org/10.1109/rcis.2016.7549311
A new strategy for case-based reasoning retrieval using classification based on association
Aljuboori, AS, Meziane, F. and Parsons, DJ 2016. A new strategy for case-based reasoning retrieval using classification based on association. Perner, P (ed.) MLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition. New York, USA 16 - 21 Jul 2016 Springer. https://doi.org/10.1007/978-3-319-41920-6_24
A discourse-based approach for Arabic question answering
Sadek, J and Meziane, F. 2016. A discourse-based approach for Arabic question answering. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 16 (Issue 2, Article: 11), pp. 1 - 18. https://doi.org/10.1145/2988238
Automated screening of MRI brain scanning using grey level statistics
Hasan, A and Meziane, F. 2016. Automated screening of MRI brain scanning using grey level statistics. Computers & Electrical Engineering. Vol 53 (Jul 2016), pp. 276-291. https://doi.org/10.1016/j.compeleceng.2016.03.008
Extracting Arabic causal relations using linguistic patterns
Sadek, J and Meziane, F. 2016. Extracting Arabic causal relations using linguistic patterns. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 15 (Issue 3, Article: 14), p. 1–20. https://doi.org/10.1145/2800786
Automated segmentation of tumours in MRI brain scans
Hasan, A, Meziane, F. and Khadim, M 2016. Automated segmentation of tumours in MRI brain scans. 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). Rome, Italy 21 - 23 Feb 2016 SCITEPRESS - Science and Technology Publications.
An adaptable and personalised e-learning system based on free web resources
Aeiad, E and Meziane, F. 2015. An adaptable and personalised e-learning system based on free web resources. Biemann, C, Handschuh, S, Freitas, A, Meziane, F and Métais, E (ed.) 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015. Passau, Germany 17 - 19 Jun 2015 Springer. https://doi.org/10.1007/978-3-319-19581-0_26
The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia
Haya Alshehri and Farid Meziane 2015. The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia. Journal of Internet and e-Business Studies. Vol 2015 (2015, Article: 146746). https://doi.org/10.5171/2015.146746
Using local grammar for entity extraction from clinical reports
Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2015. Using local grammar for entity extraction from clinical reports. International Journal of Artificial Intelligence and Interactive Multimedia. Vol 3 (Issue 3), pp. 16 - 24. https://doi.org/10.9781/ijimai.2015.332
An architecture to support ultrasound report generation and standardisation
Zulkarnain, NZ, Crofts, GS and Meziane, F. 2015. An architecture to support ultrasound report generation and standardisation. 8th International Conference on Health Informatics, HEALTHINF 2015. Lisbon, Portugal 12 - 15 Jan 2015 SCITEPRESS - Science and Technology Publications.
An exploratory study of ethical problems in digital service and engineering project management
More, S.K., Bass, J.M. and Meziane, F. 2015. An exploratory study of ethical problems in digital service and engineering project management. 3rd Joint International Workshop on Quantitative Approaches to Software Quality, QuASoQ 2015, the Workshop on Alternate Workforces for Software Engineering, WAWSE 2015 and the 1st International Workshop on Case Method for Computing Education, CMCE 201. New Delhi, India 01 Dec 2015 CEUR Workshops Proceedings.
Regression analysis for energy and lifetime prediction in large wireless sensor networks
Mir, F, Bounceur, A and Meziane, F. 2014. Regression analysis for energy and lifetime prediction in large wireless sensor networks. 2014 International Conference on Advanced Networking Distributed Systems and Applications. Bejaia, Algeria 17 - 19 Jun 2014 IEEE. https://doi.org/10.1109/inds.2014.8
The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK
Alshehri, H and Meziane, F. 2014. The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK. 22nd IBIMA Conference. Rome, Italy 13 - 14 Nov 2013 IBIMA.
The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia
Alshehri, H. and Meziane, F. 2014. The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia. 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation. Milan, Italy 06 - 07 Nov 2014 IBIMA.