谈话中的结构:证据证明了prosody的词汇,语义和语法
Nadav Matalon1,2, Eyal Weinreb1, Dominik Freche1
1Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel.
概括
这项研究通过识别200个prosodic模式和马科维语法来对它们在自发言语中的组合进行英语prosody模型. 这揭示了谈话式的前奏是如何进行的.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 语音学 语音学 语音学
背景情况:
- 语调,即语言的"音乐"方面,对于沟通至关重要.
- 它的结构和意义是复杂的,并没有完全理解.
- 现有的研究往往侧重于理论模型,而不是自发言语的数据驱动分析.
研究的目的:
- 开发一个以数据为导向的英语修辞的模型.
- 识别基本的礼仪模式及其含义.
- 为了揭示这些模式在自然对话中结合的规则.
主要方法:
- 对自发的英语对话进行大规模分析.
- 无监督识别了大约200个形模式.
- 马科维模型的应用,以了解模式连接.
- 手动采样和分析识别的模式及其序列.
主要成果:
- 识别了大约200个基本的律模式 ("律词汇").
- 发现了一种"马尔科维语法"用于组合prosodic模式.
- 连续的形模式中发现的复合函数.
- 发现马科维语法在自发发言语中比脚本语言更常见.
结论:
- 这项研究提供了对对话前奏曲结构的经验洞察.
- 这些发现完善了现有的关于神器意义和功能的理论.
- 拟议的方法可以应用于其他语言的模型.
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