Muhammad N. ElNokrashy

According to our database1, Muhammad N. ElNokrashy authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Partial Diacritization: A Context-Contrastive Inference Approach.
CoRR, 2024

A Context-Contrastive Inference Approach To Partial Diacritization.
Proceedings of The Second Arabic Natural Language Processing Conference, 2024

Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Investigating Cultural Alignment of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings.
Proceedings of the Eighth Conference on Machine Translation, 2023

Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word-Definition Alignment.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

2022
The Shared Task on Gender Rewriting.
CoRR, 2022

Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation.
CoRR, 2022


Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models.
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021
Deep Spiking Neural Networks with Resonate-and-Fire Neurons.
CoRR, 2021

The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL.
CoRR, 2021

Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

2020
Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions.
Proceedings of the Fifth Conference on Machine Translation, 2020

Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization.
Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020


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