The Mechanism of Pro-drop: Quantifying The Discourse Support For Pro-drop Across Languages Based on Statistical Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A2LRCB6TR" target="_blank" >RIV/00216208:11320/25:2LRCB6TR - isvavai.cz</a>
Result on the web
<a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=Ue4DwVAAAAAJ&citation_for_view=Ue4DwVAAAAAJ:W7OEmFMy1HYC" target="_blank" >https://scholar.google.com/citations?view_op=view_citation&hl=en&user=Ue4DwVAAAAAJ&citation_for_view=Ue4DwVAAAAAJ:W7OEmFMy1HYC</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Mechanism of Pro-drop: Quantifying The Discourse Support For Pro-drop Across Languages Based on Statistical Models
Original language description
This dissertation delves into the phenomenon of pro-drop, where pronouns can be grammatically omitted in certain languages. The research focuses on three key questions:(1) How does discourse coherence support pro-drop languages, and how can we quantify discourse coherence?(2) What is the order of importance among linguistic factors relevant to pro-drop?(3) If an AI model is trained to predict pro-drop based on language dependency structures, what factors are crucial cross-linguistically? These questions are addressed in three experiments.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů