A frame-based approach for capturing semantics from Arabic text for text-to-sign language MT

@article{Lakhfif2016AFA,
  title={A frame-based approach for capturing semantics from Arabic text for text-to-sign language MT},
  author={Abdelaziz Lakhfif and Mohamed Tayeb Laskri},
  journal={I. J. Speech Technology},
  year={2016},
  volume={19},
  pages={203-228}
}
This paper describes the design and implementation of a computational model for Arabic natural language semantics, a semantic parser for capturing the deep semantic representation of Arabic text. The parser represents a major part of an Interlingua-based machine translation system for translating Arabic text into Sign Language. The parser follows a frame-based analysis to capture the overall meaning of Arabic text into a formal representation suitable for NLP applications that need for deep… CONTINUE READING
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