Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Afify, Mohamed"'
Autor:
Amer, Hossam, Abouelenin, Abdelrahman, Maher, Mohamed, Narouz, Evram, Afify, Mohamed, Awadallah, Hany
Nearest neighbor machine translation is a successful approach for fast domain adaption, which interpolates the pre-trained transformers with domain-specific token-level k-nearest-neighbor (kNN) retrieval without retraining. Despite kNN MT's success,
Externí odkaz:
http://arxiv.org/abs/2407.19965
Autor:
Hendy, Amr, Abdelrehim, Mohamed, Sharaf, Amr, Raunak, Vikas, Gabr, Mohamed, Matsushita, Hitokazu, Kim, Young Jin, Afify, Mohamed, Awadalla, Hany Hassan
Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for natural language generation, but their performance for machine translation has not been thoroughly investigated. In this paper, we present a comprehensive evaluati
Externí odkaz:
http://arxiv.org/abs/2302.09210
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 parameters on domain data. This performs very closely and drastically reduce
Externí odkaz:
http://arxiv.org/abs/2210.09805
Multilingual Neural Machine Translation has been showing great success using transformer models. Deploying these models is challenging because they usually require large vocabulary (vocab) sizes for various languages. This limits the speed of predict
Externí odkaz:
http://arxiv.org/abs/2208.06874
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 both the encoder and decoder to include signals for the source and tar
Externí odkaz:
http://arxiv.org/abs/2208.05852
Publikováno v:
Maǧallaẗ Al-Turāṯ wa Al-Taṣmīm, Vol 3, Iss 18, Pp 258-276 (2023)
This research deals with the study of electronic blogs in context of Apparel Marketing as one of the most marketing skills fashion brand needs is communication activities, since consumers become dependent on the Internet to get information and exchan
Externí odkaz:
https://doaj.org/article/e53ef41f300544a28524334d7523beff
Autor:
Hendy, Amr, Gad, Esraa A., Abdelghaffar, Mohamed, ElMosalami, Jailan S., Afify, Mohamed, Tawfik, Ahmed Y., Awadalla, Hany Hassan
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 Hindi, English to and from Hausa, and Xhosa to and from Zulu. To over
Externí odkaz:
http://arxiv.org/abs/2111.13284
Autor:
ElNokrashy, Muhammad N., Hendy, Amr, Abdelghaffar, Mohamed, Afify, Mohamed, Tawfik, Ahmed, Awadalla, Hany Hassan
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 distinguish positive and negative pairs by semantic alignment, and (3) the o
Externí odkaz:
http://arxiv.org/abs/2011.07933
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, generated from a feed forward deep neural network trained to distinguish bet
Externí odkaz:
http://arxiv.org/abs/1806.09932
Autor:
Heba Mostafa Mahmoud Ali Hassan, Nehal Afify Mohamed, Abd Elrahim Ramadan Abd Eljhany, Mamdouh Mahmoud Roushdy
Publikováno v:
Maǧallaẗ Al-Turāṯ wa Al-Taṣmīm, Vol 2, Iss 10, Pp 377-395 (2022)
As always, everything in our lives is subject to change and rapid development. If I told you that you can fly in the air as you wish like a bird, you would not believe me, but it is the truth. With scientific research and technological applications,
Externí odkaz:
https://doaj.org/article/d73759ca029f450a9ab716f8f42e5aa9