Quantifying Discourse Support for Omitted Pronouns
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 16 Sep 2022.
Builds on
5 of 22 references.
References · 5
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
- 2018Analogical Reasoning on Chinese Morphological and Semantic Relationscited by 50
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Citing papers per year: 2023: 1.
1 paper.