{"title":"Commentary: Beyond tone and climate: broadening the framework","authors":"Ljiljana Progovac, M. Ratliff","doi":"10.1093/JOLE/LZV006","DOIUrl":null,"url":null,"abstract":"In this commentary, we address some general questions regarding the use of statistical methods for the purposes of correlating linguistic with nonlinguistic features, as well as engage some specific claims in the position article by Everett et al. (2016). In the process, we attempt to arrive at possible causes for misunderstandings among researchers coming from different disciplines. This short piece is not meant to be a thorough review of the article, but simply to focus on those areas where we can provide some productive feedback. First, we do believe that it is an empirical question whether or not certain linguistic features are influenced by external forces, and one should indeed pursue such research questions using statistical methods. As pointed out by Ladd et al. (2015), correlational studies of this kind can help one choose among competing hypotheses. While it is true that finding a correlation does not necessarily establish causation, it is also true that having discovered a correlation is better than having none. In addition, understanding how human language evolved will require such approaches. Perhaps part of the reason why some linguists seem skeptical about the findings of this kind has to do with what we can call a problem of proportion. Isolated studies like this, without being embedded in a comprehensive framework, may suggest to the reader, even when this is not claimed by the author(s), that a linguistic phenomenon can be completely reduced to a nonlinguistic factor. What would help would be to embed these findings into a larger, more comprehensive framework about change in phonological systems, as well as how these systems evolve. Against the background of such a comprehensive framework, one can then try to determine how much of a role is played by climate as opposed to other factors, such as language-internal …","PeriodicalId":37118,"journal":{"name":"Journal of Language Evolution","volume":"117 1","pages":"77-79"},"PeriodicalIF":2.1000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/JOLE/LZV006","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Language Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/JOLE/LZV006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 4
Abstract
In this commentary, we address some general questions regarding the use of statistical methods for the purposes of correlating linguistic with nonlinguistic features, as well as engage some specific claims in the position article by Everett et al. (2016). In the process, we attempt to arrive at possible causes for misunderstandings among researchers coming from different disciplines. This short piece is not meant to be a thorough review of the article, but simply to focus on those areas where we can provide some productive feedback. First, we do believe that it is an empirical question whether or not certain linguistic features are influenced by external forces, and one should indeed pursue such research questions using statistical methods. As pointed out by Ladd et al. (2015), correlational studies of this kind can help one choose among competing hypotheses. While it is true that finding a correlation does not necessarily establish causation, it is also true that having discovered a correlation is better than having none. In addition, understanding how human language evolved will require such approaches. Perhaps part of the reason why some linguists seem skeptical about the findings of this kind has to do with what we can call a problem of proportion. Isolated studies like this, without being embedded in a comprehensive framework, may suggest to the reader, even when this is not claimed by the author(s), that a linguistic phenomenon can be completely reduced to a nonlinguistic factor. What would help would be to embed these findings into a larger, more comprehensive framework about change in phonological systems, as well as how these systems evolve. Against the background of such a comprehensive framework, one can then try to determine how much of a role is played by climate as opposed to other factors, such as language-internal …
在这篇评论中,我们解决了一些关于使用统计方法将语言与非语言特征联系起来的一般性问题,以及Everett等人(2016)在立场文章中提出的一些具体主张。在这个过程中,我们试图找出不同学科的研究者之间产生误解的可能原因。这篇短文并不是对这篇文章的全面回顾,而是简单地关注那些我们可以提供一些有效反馈的领域。首先,我们确实认为,某些语言特征是否受到外力的影响是一个实证问题,我们确实应该用统计方法来追求这样的研究问题。正如Ladd et al.(2015)所指出的,这种相关研究可以帮助人们在相互竞争的假设中进行选择。虽然发现相关性并不一定能建立因果关系,但发现相关性总比没有强。此外,理解人类语言是如何进化的也需要这样的方法。也许一些语言学家对这类发现持怀疑态度的部分原因与我们所说的比例问题有关。像这样的孤立研究,没有嵌入到一个全面的框架中,可能会向读者暗示,即使作者没有声称这一点,语言现象可以完全归结为非语言因素。将这些发现嵌入到一个更大、更全面的关于语音系统变化的框架中,以及这些系统是如何进化的,将会有所帮助。在这样一个全面框架的背景下,人们可以尝试确定气候在其中扮演了多大的角色,而不是其他因素,如语言、内部……