Word Sense Disambiguation Approach for Arabic Text

Word Sense Disambiguation (WSD) consists of identifying the correct sense of an ambiguous word occurring in a given context. Most of Arabic WSD systems are based generally on the information extracted from the local context of the word to be disambiguated. This information is not usually sufficient for a best disambiguation. To overcome this limit, we propose an approach that takes into consideration, in addition to the local context, the global context too extracted from the full text. More particularly, the sense attributed to an ambiguous word is the one of which semantic proximity is more close both to its local and global context. The experiments show that the proposed system achieved an accuracy of 74%.

@article{Bouhriz2016,
  title     = {Word Sense Disambiguation Approach for Arabic Text},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {4},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Nadia Bouhriz and Faouzia Benabbou and El Habib Ben Lahmar},
  doi       = {10.14569/IJACSA.2016.070451},
  url       = {https://doi.org/10.14569/IJACSA.2016.070451}
}