International Journal of Computational Linguistics Research Mohammed H. Hamdan, Imtiaz H. Khan 9 2 2018 https://doi.org/10.6025/jcl/2018/9/2/60-80 http://www.dline.info/jcl/fulltext/v9n2/jclv9n2_2.pdf 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.