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Revisiting the Phenomenon of Syntactic Complexity Convergence on German Dialogue Data

arXiv 2408.12177 ↗First posted 22 Aug 2024cs.CLcited by 1

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Abstract (arXiv)

We revisit the phenomenon of syntactic complexity convergence in conversational interaction, originally found for English dialogue, which has theoretical implication for dialogical concepts such as mutual understanding. We use a modified metric to quantify syntactic complexity based on dependency parsing. The results show that syntactic complexity convergence can be statistically confirmed in one of three selected German datasets that were analysed. Given that the dataset which shows such convergence is much larger than the other two selected datasets, the empirical results indicate a certain degree of linguistic generality of syntactic complexity convergence in conversational interaction. We also found a different type of syntactic complexity convergence in one of the datasets while further investigation is still necessary.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 26 references that are in the map. First posted on arXiv 22 Aug 2024.

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References · 6

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
  3. 2019Universal Dependency Parsing from Scratchcited by 46
  4. 2015Top-down Tree Long Short-Term Memory Networkscited by 12
  5. 2022TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotationcited by 2
  6. 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2

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