Quantifying Discourse Support for Omitted Pronouns
Zhang, Shulin, Li, Jixing, Hale, John
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-16-2022
- Country:
- Asia > China (0.04)
- Oceania > Australia
- North America > United States
- California > Los Angeles County > Los Angeles (0.14)
- Europe > United Kingdom
- England
- Oxfordshire > Oxford (0.04)
- Cambridgeshire > Cambridge (0.04)
- England
- Genre:
- Research Report > New Finding (0.90)
- Technology: