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首页> 外文期刊>Cognitive Science >Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings
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Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings

机译：早期学习具有一致历时使用模式的单词：使用时间上对齐的单词嵌入的计算分析

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摘要

In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) while controlling for frequency, contextual diversity, concreteness, length, dominant part of speech, orthographic neighborhood density, and diachronic frequency variation. We analyze measures of language change tackling both the change in lexical representations and the change in the relation between lexical representations and the words with the most similar usage patterns, showing that they capture different aspects of language change. Our results show a unique relation between language change and AoA, which is stronger when considering neighborhood-level measures of language change: Words with more coherent diachronic usage patterns tend to be acquired earlier. The results support theories positing a link between ontogenetic and ethnogenetic processes in language.
机译：在这项研究中，我们使用时间对齐的单词嵌入品和大型历时的英语语料库，以数据驱动，可扩展的方式量化语言变化，该语言是在语言使用中的基础上。我们在控制频率，上下文分集，具体，长度，语音，正交邻域密度和探讨频率变化的频率，上下文分集，具体，长度，主导部分的频率，语境分集，具体，长度，主导部分之间具有独特而可靠的关系。我们分析语言变革的措施，解决词汇表现的变化以及词汇表现形式与最相似的使用模式之间的关系的变化，表明它们捕获了语言变化的不同方面。我们的结果表明了语言变化与AOA之间的独特关系，即在考虑语言变化的邻域级级别测量时更强大：早期倾向于获得更加连贯的历时使用模式的单词。结果支持在语言中对植入和血管生殖过程之间的联系的理论。

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