An Analysis of Prepositional-Phrase Attachment Disambiguation
Mohammed H. Hamdan, Imtiaz H. Khan
International Journal of Computational Linguistics Research, Vol. 9, No. 2, 2018.
DOI: https://doi.org/10.6025/jcl/2018/9/2/60-80
Link: 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.