Department of Psychology, University of Southern California, United States.
Department of Psychology, University of Southern California, United States; Department of Linguistics, University of Southern California, United States.
Cognition. 2018 Jan;170:64-75. doi: 10.1016/j.cognition.2017.09.006. Epub 2017 Sep 22.
Word learning involves massive ambiguity, since in a particular encounter with a novel word, there are an unlimited number of potential referents. One proposal for how learners surmount the problem of ambiguity is that learners use cross-situational statistics to constrain the ambiguity: When a word and its referent co-occur across multiple situations, learners will associate the word with the correct referent. Yu and Smith (2007) propose that these co-occurrence statistics are sufficient for word-to-referent mapping. Alternative accounts hold that co-occurrence statistics alone are insufficient to support learning, and that learners are further guided by knowledge that words are referential (e.g., Waxman & Gelman, 2009). However, no behavioral word learning studies we are aware of explicitly manipulate subjects' prior assumptions about the role of the words in the experiments in order to test the influence of these assumptions. In this study, we directly test whether, when faced with referential ambiguity, co-occurrence statistics are sufficient for word-to-referent mappings in adult word-learners. Across a series of cross-situational learning experiments, we varied the degree to which there was support for the notion that the words were referential. At the same time, the statistical information about the words' meanings was held constant. When we overrode support for the notion that words were referential, subjects failed to learn the word-to-referent mappings, but otherwise they succeeded. Thus, cross-situational statistics were useful only when learners had the goal of discovering mappings between words and referents. We discuss the implications of these results for theories of word learning in children's language acquisition.
词汇学习涉及到大量的歧义,因为在与一个新单词的特定接触中,存在着无限数量的潜在指代对象。学习者克服歧义问题的一种建议是,学习者使用跨情境统计来限制歧义:当一个单词及其指代对象在多个情境中共同出现时,学习者将把这个单词与正确的指代对象联系起来。于和史密斯(2007)提出,这些共同出现的统计数据足以支持单词到指代对象的映射。另一种观点认为,共同出现的统计数据本身不足以支持学习,并且学习者还受到知识的指导,即单词是有指代作用的(例如,Waxman & Gelman,2009)。然而,我们所知道的没有行为词汇学习研究明确操纵被试者在实验中对单词作用的先验假设,以检验这些假设的影响。在这项研究中,我们直接测试在面临指代歧义时,对于成人词汇学习者来说,共同出现的统计数据是否足以支持单词到指代对象的映射。通过一系列的跨情境学习实验,我们改变了单词具有指代作用的概念得到支持的程度。同时,关于单词意义的统计信息保持不变。当我们忽略了单词具有指代作用的概念得到支持时,被试者未能学习到单词到指代对象的映射,但在其他情况下,他们成功了。因此,跨情境统计数据只有在学习者有目标发现单词和指代对象之间的映射时才有用。我们讨论了这些结果对儿童语言习得中词汇学习理论的影响。