Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Elmadani, Khalid N."'
This paper presents the foundational framework and initial findings of the Balanced Arabic Readability Evaluation Corpus (BAREC) project, designed to address the need for comprehensive Arabic language resources aligned with diverse readability levels
Externí odkaz:
http://arxiv.org/abs/2410.08674
The paper describes the University of Cape Town's submission to the constrained track of the WMT22 Shared Task: Large-Scale Machine Translation Evaluation for African Languages. Our system is a single multilingual translation model that translates be
Externí odkaz:
http://arxiv.org/abs/2210.11757
Autor:
Altaher, Yousef, Fadel, Ali, Alotaibi, Mazen, Alyazidi, Mazen, Al-Mutairi, Mishari, Aldhbuiub, Mutlaq, Mosaibah, Abdulrahman, Rezk, Abdelrahman, Alhendi, Abdulrazzaq, Shal, Mazen Abo, Alghamdi, Emad A., Alshaibani, Maged S., Zakraoui, Jezia, Mohammed, Wafaa, Gaanoun, Kamel, Elmadani, Khalid N., Ghaleb, Mustafa, Tazi, Nouamane, Alharbi, Raed, Masoud, Maraim, Alyafeai, Zaid
Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challenging task. In order to give the optimal experience for users and rese
Externí odkaz:
http://arxiv.org/abs/2208.00932
Fine-tuning a pretrained BERT model is the state of the art method for extractive/abstractive text summarization, in this paper we showcase how this fine-tuning method can be applied to the Arabic language to both construct the first documented model
Externí odkaz:
http://arxiv.org/abs/2004.14135