语音细分和跨情境的单词学习在并行.
Rodrigo Dal Ben1, Isabella Toselli Prequero1, Débora de Hollanda Souza1
1Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
Open mind : discoveries in cognitive science
|August 28, 2023
概括
语言学习者可以同时对话语进行细分,并将单词映射到对象中,即使具有相互矛盾的统计信息. 这证明了在杂的环境中进行强大的统计学学习,以获得单词.
科学领域:
- 认知科学 认知科学
- 心理语言学 心理语言学
- 发展心理学 发展心理学
背景情况:
- 语言学习者利用统计信息,特别是条件概率,来识别连续演讲中的单词.
- 交叉情境词语学习涉及将词语映射到模两可的语境中的对象.
- 同时应用语音细分和文字映射仍然是语言学习研究中未被充分探索的领域.
研究的目的:
- 调查语言学习者是否可以同时进行语音细分和跨情境词语学习.
- 检查语言输入中的相互矛盾的统计信息如何影响这些双重学习过程.
主要方法:
- 成年参与者 (N=60在实验1中,N=35在实验2) 参与了将连续语音细分和将单词映射到对象的联合任务.
- 在语音流中引入了相互矛盾的统计属性.
- 在实验2中使用标准测量和更敏感的测量来评估语音细分.
主要成果:
- 同时执行语音细分和单词映射导致了比单个任务执行更好的结果.
- 当被呈现出相互矛盾的统计数据时,参与者成功地将单词映射到对象中,但在随机水平上进行了语音细分.
- 更敏感的测量结果显示,参与者可以区分非单词,但不能区分单词和部分单词,而映射仍然超出了机会.
结论:
- 语言学习者可以有效地跟踪多个统计信息来源,以在具有挑战性的,杂的环境中进行词语发现和对象映射.
- 这些发现突显了大脑在语言学习过程中进行并行统计处理的能力.
- 需要进一步的研究来完善从复杂的统计环境中测量学习成果的方法.
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