对比报纸与社交媒体，发现新词生成受不同机制驱动。
From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
- 用上下文嵌入分析新词诞生的语义规律
- 发现两领域新词产生机制相似但主题热度影响不同
- 适合语言演化与社会传播研究者阅读
活语言受到多种内部与外部演化压力的共同影响。尽管某些压力在不同语言文化中普遍存在，但语言使用场景（如报纸与社交媒体）会带来差异化的约束。先前基于历史出版文本的分布语义研究（Ryskina et al., 2020, arXiv:2001.07740）识别出英语新词生成（neology）的两个相关因素。本文扩展该方法，引入上下文嵌入并应用于新构建的推特文本语料，结果表明这些发现同时适用于两个领域；但主题流行度增长对推特上新词生成的影响较弱。我们推测这一差异源于两领域偏好不同的新词形成机制。
原文摘要 · Abstract (English)
Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages and cultures, others differ depending on the social and conversational context: language use in newspapers is subject to very different constraints than language use on social media. Prior distributional semantic work on English word emergence (neology) identified two factors correlated with creation of new words by analyzing a corpus consisting primarily of historical published texts (Ryskina et al., 2020, arXiv:2001.07740). Extending this methodology to contextual embeddings in addition to static ones and applying it to a new corpus of Twitter posts, we show that the same findings hold for both domains, though the topic popularity growth factor may contribute less to neology on Twitter than in published writing. We hypothesize that this difference can be explained by the two domains favouring different neologism formation mechanisms.
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