Everlasting contact between language communities leads to constant changes in
languages over time, and gives rise to language varieties and dialects.
However, the communities speaking non-standard language are often overlooked by
non-inclusive NLP technologies. Recently, there has been a surge of interest in
studying diatopic and diachronic changes in dialect NLP, but there is currently
no research exploring the intersection of both. Our work aims to fill this gap
by systematically reviewing diachronic and diatopic papers from a unified
perspective. In this work, we critically assess nine tasks and datasets across
five dialects from three language families (Slavic, Romance, and Germanic) in
both spoken and written modalities. The tasks covered are diverse, including
corpus construction, dialect distance estimation, and dialect geolocation
prediction, among others. Moreover, we outline five open challenges regarding
changes in dialect use over time, the reliability of dialect datasets, the
importance of speaker characteristics, limited coverage of dialects, and
ethical considerations in data collection. We hope that our work sheds light on
future research towards inclusive computational methods and datasets for
language varieties and dialects.

通过系统地回顾历时变化和地域变化的论文，我们对斯拉夫语、罗曼语和日耳曼语三个语言家族中五种方言的口语和书面语模式下的九个任务和数据集进行了关键评估，同时提出了关于方言使用变化、方言数据集的可靠性、说话者特征的重要性、方言覆盖范围的限制以及数据收集中的伦理考虑等五个挑战，希望我们的工作能为未来研究提供关于包容性计算方法和语言方言的数据集。

探索方言连续体的历时变化和地域变化：任务、数据集和挑战

Exploring Diachronic and Diatopic Changes in Dialect Continua: Tasks,  Datasets and Challenges

We propose a framework that extends synchronic polysemy annotation to
diachronic changes in lexical meaning, to counteract the lack of resources for
evaluating computational models of lexical semantic change. Our framework
exploits an intuitive notion of semantic relatedness, and distinguishes between
innovative and reductive meaning changes with high inter-annotator agreement.
The resulting test set for German comprises ratings from five annotators for
the relatedness of 1,320 use pairs across 22 target words.

提出了一种框架，将同步多义性注释扩展到词汇意义的历时变化，以抵消评估词汇语义变化计算模型的资源不足问题。利用一个直观的语义相关性概念，区分了创新和淘汰意义变化，形成了一个德文测试集，由五个注释者对 22 个目标词中 1320 个使用对的相关性进行了评级。