arXiv:2512.18072cs.CLcs.CY2025-12

对比真实视频对话与电影对白,发现词汇增长规律因语言类型和媒介不同而异。

Statistical laws and linguistics differ in naturalistic video and fictional conversations

  • 分析视频聊天与电影对白中词汇量随长度的增长规律
  • 不同词性词汇增长速度差异显著,体现交流效率差异
  • 揭示媒介特性影响语言演化,适合语言学与人机交互研究者

对话是社会连接的核心,与幸福感密切相关。对话类型多样,部分可生成复杂动态叙事。研究对话随时间演化的常用方法是统计规律,如希普斯定律(Heaps' law)——词汇量随文本长度增长。现有研究较少关注对话场景下语言特征对尺度关系的影响。本文测量了两类不同媒介中的对话:1. 视频聊天中陌生人之间的实时交流;2. 电影中虚构角色的对白。结果发现,词汇量的增长速率因词性而异,且在不同媒介中表现不一致,表明交流目的与媒介特性影响语言使用效率。

原文摘要 · Abstract (English)

Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. One approach to studying how conversations unfold in time is through statistical patterns such as Heaps' law, which holds that vocabulary size scales with document length. Little work on Heaps' law has looked at conversation and considered how language features impact scaling. We measure Heaps' law for conversations recorded in two distinct mediums: 1. Strangers brought together on video chat and 2. Fictional characters in movies. We find that scaling of vocabulary size differs by parts of speech, suggesting a less efficient purpose in communication by medium.

语言模型对话分析统计规律媒介研究

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