This paper measures variation in embedding spaces which have been trained on
different regional varieties of English while controlling for instability in
the embeddings. While previous work has shown that it is possible to
distinguish between similar varieties of a language, this paper experiments
with two follow-up questions: First, does the variety represented in the
training data systematically influence the resulting embedding space after
training? This paper shows that differences in embeddings across varieties are
significantly higher than baseline instability. Second, is such dialect-based
variation spread equally throughout the lexicon? This paper shows that specific
parts of the lexicon are particularly subject to variation. Taken together,
these experiments confirm that embedding spaces are significantly influenced by
the dialect represented in the training data. This finding implies that there
is semantic variation across dialects, in addition to previously-studied
lexical and syntactic variation.

本文研究使用不同区域英语的嵌入空间的变化，并控制嵌入的不稳定性。实验得出结论：培训数据中的方言会对生成的嵌入空间产生显著的影响，并且这种方言差异在词汇的特定部分尤其容易出现变化。这表明方言之间存在语义上的差异，除了之前研究所述的词汇和句法差异。