prikaz prve stranice dokumenta Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences
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master's thesis
Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. urn:nbn:hr:131:051663
Bajac, Petra
University of Zagreb
Faculty of Humanities and Social Sciences
Department of English language and literature

Institutional repository: ODRAZ

Cite this document

Bajac, P. (2020). Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:051663

Bajac, Petra. "Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:051663

Bajac, Petra. "Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:051663

Bajac, P. (2020). 'Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 01 January 2025, https://urn.nsk.hr/urn:nbn:hr:131:051663

Bajac P. Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2020 [cited 2025 January 01] Available at: https://urn.nsk.hr/urn:nbn:hr:131:051663

P. Bajac, "Computational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:131:051663

Metadata
TitleComputational and Psycholinguistic Approaches to Structural Ambiguity: The Case of Garden Path Sentences
AuthorPetra Bajac
MentorIrena Zovko Dinković (mentor)
Committee memberMarina Grubišić (predsjednik povjerenstva)
Committee memberIvana Bašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of English language and literature)
Zagreb
Defense date and country2020-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
Anglistics
Abstract
By approaching the phenomenon of structural ambiguity from two different perspectives – psycholinguistic and computational, this thesis shows how linguistic research can have practical applications in improving NLP systems. The analyses of specific sentences show breakdowns in processing, present the possible explanations for the reasons behind them through principles such as Minimal Attachment/Late closure and Lexical preference, and demonstrate the backtracking needed in order to achieve a full, successful parsing of ambiguous sentences. The types of sentences chosen for this thesis are called garden-path sentences, which induce a lot of difficulty in processing for both humans and machines, making them a perfect choice to demonstrate the similarities and differences between sentence processing in humans and machines. The research employs a combination of computational methods, both rule-based and statistical, and psycholinguistic hypotheses to explain the parsing process of garden-path sentences. The results show that in order for an NLP system to fully process highly ambiguous sentences such as these, it needs theoretical input to repair the partly parsed structures and successfully complete the parsing process. This implies a strong need for multidisciplinary research involving programmers, linguists, and cognitive scientists to succeed in emulating human intelligence in complex AI systems.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:131:051663
Study programmeTitle: English Language and Literature (double major); specializations in: Linguistics, Literature and Culture, Translation, TEFL
Course: Linguistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra engleskog jezika i književnosti (magistar/magistra engleskog jezika i književnosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-07-03 10:31:31