• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on the Evolution of Language >DETECTING DIFFERENCES BETWEEN THE LANGUAGES OF NEANDERTALS AND MODERN HUMANS
【24h】

DETECTING DIFFERENCES BETWEEN THE LANGUAGES OF NEANDERTALS AND MODERN HUMANS

机译：检测尼安德州和现代人类的语言之间的差异

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Dediu and Levinson (2013) argue that Neandertals had essentially modern language and speech, and that they were in genetic contact with the ancestors of modern humans during our dispersal out of Africa. This raises the possibility of cultural and linguistic contact between the two human lineages. If such contact did occur, then it might have influenced the cultural evolution of the languages. Since the genetic traces of contact with Neandertals are limited to the populations outside of Africa, Dediu & Levinson predict that there may be structural differences between the present-day languages derived from languages in contact with Neanderthals, and those derived from languages that were not influenced by such contact. Since the signature of such deep contact might reside in patterns of features, they suggested that machine learning methods may be able to detect these differences. This paper attempts to test this hypothesis and to estimate particular linguistic features that are potential candidates for carrying a signature of Neandertal languages. The possibility of being able to identify linguistic features arising from two potentially different sets of cognitive biases and/or vastly different historical trajectories would be of enormous importance for the study of language evolution.
机译：Dediu和Levinson（2013年）争辩说，尼安德塔尔斯本质上具有现代语言和言论，而且在我们的分散在非洲的宣传期间，他们与现代人类的祖先进行了遗传接触。这提出了两种人类谱系之间的文化和语言接触的可能性。如果发生这种接触，那么它可能会影响语言的文化演变。由于与Neandertals的联系遗传迹线仅限于非洲以外的人群，因此Dediu＆Levinson预测，从与Neanderthals联系的语言源自语言，那些源自不影响的语言可能存在结构差异。通过这种接触。由于这种深度联系人的签名可能驻留在特征模式中，因此他们建议机器学习方法可以检测这些差异。本文试图测试这一假设，并估计特定的语言特征，这些功能是携带Neandertal语言签名的潜在候选人。能够识别出于两个可能不同的认知偏差和/或巨大不同的历史轨迹产生的语言特征的可能性对于语言演化的研究是巨大的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号