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Automated Detection of Syntactic Ambiguity Using Shallow Parsing and Web Data


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/54523

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Title: Automated Detection of Syntactic Ambiguity Using Shallow Parsing and Web Data
Other Titles: Automated Detection of Syntactic Ambiguity Using Shallow Parsing and Web Data
Authors: Khezri, Reza
Issue Date: 28-Nov-2017
Degree: Student essay
Publication type: H2
Keywords: ambiguity
ambiguity detection tool
ambiguity resolution
syntactic ambiguity
Shallow Parsing
Google search API
PythonAnywhere
PP attachment ambiguity
Abstract: Technical documents are mostly written in natural languages and they are highly ambiguity-prone due to the fact that ambiguity is an inevitable feature of natural languages. Many researchers have urged technical documents to be free from ambiguity to avoid unwanted and, in some cases, disastrous consequences ambiguity and misunderstanding can have in technical context. Therefore the need for ambiguity detection tools to assist writers with ambiguity detection and resolution seems indispensable. ... more
URI: http://hdl.handle.net/2077/54523
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