192 citations · 194 across the 7 of their papers we have counts for
7 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…
Domain Specific Sub-network for Multi-Domain Neural Machine Translation
Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify +1
This paper presents Domain-Specific Sub-network (DoSS). It uses a set of masks obtained through pruning to define a sub-network for each domain and finetunes the sub-network parame…
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…
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
Amr Hendy, Esraa A. Gad, Mohamed Abdelghaffar +4
This paper describes our submission to the constrained track of WMT21 shared news translation task. We focus on the three relatively low resource language pairs Bengali to and from…
Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions
Muhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar +3
This paper describes our submission to the WMT20 sentence filtering task. We combine scores from (1) a custom LASER built for each source language, (2) a classifier built to distin…
Text-Independent Speaker Verification Based on Deep Neural Networks and Segmental Dynamic Time Warping
Mohamed Adel, Mohamed Afify, Akram Gaballah
In this paper we present a new method for text-independent speaker verification that combines segmental dynamic time warping (SDTW) and the d-vector approach. The d-vectors, genera…