对比静态与上下文嵌入，首次分析诺曼征服前后拉丁语词义演变
Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters
- 用静态和上下文嵌入比较中古拉丁文书中的词义变化
- 上下文嵌入在稀缺历史语料中表现更优
- 适合语言学、历史文本分析研究者参考
1066年诺曼征服对英格兰的行政、社会和语言实践带来了深刻变革。DEEDS（早期英格兰文献数据集）为研究这些变化提供了独特机会，通过分析大量中古拉丁文书中的词汇意义变迁。尽管计算语言学通常依赖词向量表示如静态嵌入和上下文嵌入来研究语义变化，但现有针对稀疏且历史性的中古拉丁语的嵌入模型有限，可能不适用于此类任务。本文首次开展诺曼征服前后语义变化的计算分析，并系统比较了静态与上下文嵌入在稀疏历史语料中的表现。结果表明，与已有研究一致，上下文嵌入在捕捉稀缺历史语料中的语义变化方面优于静态词嵌入。
原文摘要 · Abstract (English)
The Norman Conquest of 1066 C.E. brought profound transformations to England's administrative, societal, and linguistic practices. The DEEDS (Documents of Early England Data Set) database offers a unique opportunity to explore these changes by examining shifts in word meanings within a vast collection of Medieval Latin charters. While computational linguistics typically relies on vector representations of words like static and contextual embeddings to analyze semantic changes, existing embeddings for scarce and historical Medieval Latin are limited and may not be well-suited for this task. This paper presents the first computational analysis of semantic change pre- and post-Norman Conquest and the first systematic comparison of static and contextual embeddings in a scarce historical data set. Our findings confirm that, consistent with existing studies, contextual embeddings outperform static word embeddings in capturing semantic change within a scarce historical corpus.
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