Browsing Computer Science & Engineering by Author "Zakraoui J."

Now showing items 1-5 of 5

    • Arabic Machine Translation: A Survey with Challenges and Future Directions 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Alja'am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In recent years, computer language area has witnessed important evolvement with applications in different domains. Machine Translation MT technology, considered as a subfield, has received important development with different ...

    • Evaluation of Arabic to English Machine Translation Systems 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Alja'am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Arabic machine translation has an important role in most NLP tasks. Many machine translation systems that support Arabic exist already; however the quality of the translation needs to be improved. In this paper, we review ...

    • Generating Images from Arabic Story-Text using Scene Graph 

      Zakraoui J.; Saleh M.; Asghar U.; Alja'am J.M.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      In this paper, we propose a new approach to generate descriptive images from simple Arabic text of stories for children to build a flexible and rich multimedia repository. To make it successful, we need to transform the ...

    • Improving text-to-image generation with object layout guidance 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Jaam J.M. ( Springer , 2021 , Article)
      The automatic generation of realistic images directly from a story text is a very challenging problem, as it cannot be addressed using a single image generation approach due mainly to the semantic complexity of the story ...

    • Text-to-picture tools, systems, and approaches: a survey 

      Zakraoui J.; Saleh M.; Al Ja’am J. ( Springer New York LLC , 2019 , Article)
      Text-to-picture systems attempt to facilitate high-level, user-friendly communication between humans and computers while promoting understanding of natural language. These systems interpret a natural language text and ...