@article{2479,
  author = {Mohammed H. Hamdan, Imtiaz H. Khan},
  title = {An Analysis of Prepositional-Phrase Attachment Disambiguation},
  journal = {International Journal of Computational Linguistics Research},
  year = {2018},
  volume = {9},
  number = {2},
  doi = {https://doi.org/10.6025/jcl/2018/9/2/60-80},
  url = {http://www.dline.info/jcl/fulltext/v9n2/jclv9n2_2.pdf},
  abstract = {Prepositional-phrase (PP) attachment ambiguity is a pervasive problem in natural language processing, and
at times it poses significant challenges to a computer system to resolve this ambiguity. In literature, different approaches have
been proposed to address PP-attachment ambiguity, but to the best of our knowledge, there is no published work which
surveys such approaches. This survey paper compares the standard methods that attempt to resolve PP-attachment ambiguities
in natural language processing. We also provide a taxonomy of various ambiguities, which may arise at different levels
during the language-processing task. There are two methods employed in natural language processing concerning new
approaches: the first technique called the rule-based method and the second called statistical approach.},
}