192 citations · 192 across the 3 of their papers we have counts for
3 papers
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
Amr Hendy, Mohamed Abdelrehim, Amr Sharaf +6
Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for natural language generation, but their performance for machine translation has not been thoro…
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU
Hossam Amer, Young Jin Kim, Mohamed Afify +2
Multilingual Neural Machine Translation has been showing great success using transformer models. Deploying these models is challenging because they usually require large vocabulary…
Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation
Muhammad ElNokrashy, Amr Hendy, Mohamed Maher +2
This paper proposes a simple yet effective method to improve direct (X-to-Y) translation for both cases: zero-shot and when direct data is available. We modify the input tokens at…