CLSep 16, 2022

Quantifying Discourse Support for Omitted Pronouns

arXiv:2209.07961v1580 citationsh-index: 16
Originality Incremental advance
AI Analysis

This addresses a linguistic analysis problem for researchers studying discourse coherence and pro-drop phenomena, but it is incremental as it builds on existing topic chain theory.

The study tackled the problem of understanding discourse motivations for pronoun omission (pro-drop) in languages by analyzing character-verb continuity, finding that omitted subjects have higher continuity salience than non-omitted subjects, with concrete measures indicating this distinction.

Pro-drop is commonly seen in many languages, but its discourse motivations have not been well characterized. Inspired by the topic chain theory in Chinese, this study shows how character-verb usage continuity distinguishes dropped pronouns from overt references to story characters. We model the choice to drop vs. not drop as a function of character-verb continuity. The results show that omitted subjects have higher character history-current verb continuity salience than non-omitted subjects. This is consistent with the idea that discourse coherence with a particular topic, such as a story character, indeed facilitates the omission of pronouns in languages and contexts where they are optional.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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