在识别中国化合物的组成处理:行为和计算研究.
Cheng-Yu Hsieh1, Marco Marelli2,3, Kathleen Rastle4
1Department of Psychology, Royal Holloway, University of London, Egham, UK. Cheng-Yu.Hsieh.2021@live.rhul.ac.uk.
中文复合处理涉及含义构造,即使是新词. 使用分布式语义的计算模型成功预测了组成字符的含义如何轻松地集成到复合含义中,支持中文的组合处理.
科学领域:
- 心理语言学 心理语言学
- 计算语言学 计算语言学
- 认知科学 认知科学
背景情况:
- 之前的研究证实了德语语言中的组成意义构造.
- 这些发现对中文的应用,其构成意义不那么系统,仍然不清楚.
研究的目的:
- 调查中国复合加工是否涉及组合意义构造.
- 用计算方法量化整合组成字符含义到复合含义的易度.
主要方法:
- 开发了一个基于分布式语义的计算模型,以量化中文字符含义的整合易度.
- 使用这个度量来预测人类对新型化合物的敏感性和新型和现有化合物的词汇决策延迟的判断.
主要成果:
- 该计算指标成功预测了新型中国化合物的敏感性判断.
- 拒绝新型化合物和识别现有化合物的词汇决策延迟也被指标预测.
- 这些发现表明,在中国的复合物识别和生产中,复合加工.
结论:
- 在中文复合加工中,一个组成过程是活跃的,它超越了明确需要意义组合的任务.
- 一个通用的统计学习框架可以有效地建模中国复合成分的功能角色.
- 常规意义构造在阅读过程中为处理中文化合物提供了优势.
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