The Mechanism of Pro-drop: Quantifying The Discourse Support For Pro-drop Across Languages Based on Statistical Models
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Mechanism of Pro-drop: Quantifying The Discourse Support For Pro-drop Across Languages Based on Statistical Models
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
The Mechanism of Pro-drop: Quantifying The Discourse Support For Pro-drop Across Languages Based on Statistical Models
Popis výsledku anglicky
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.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů