Department of Cognitive, Perceptual and Brain Sciences, University College London, UK. anne.hsu@ ucl.ac.uk
Top Cogn Sci. 2013 Jan;5(1):35-55. doi: 10.1111/tops.12005.
Children learn their native language by exposure to their linguistic and communicative environment, but apparently without requiring that their mistakes be corrected. Such learning from "positive evidence" has been viewed as raising "logical" problems for language acquisition. In particular, without correction, how is the child to recover from conjecturing an over-general grammar, which will be consistent with any sentence that the child hears? There have been many proposals concerning how this "logical problem" can be dissolved. In this study, we review recent formal results showing that the learner has sufficient data to learn successfully from positive evidence, if it favors the simplest encoding of the linguistic input. Results include the learnability of linguistic prediction, grammaticality judgments, language production, and form-meaning mappings. The simplicity approach can also be "scaled down" to analyze the learnability of specific linguistic constructions, and it is amenable to empirical testing as a framework for describing human language acquisition.
儿童通过接触语言和交际环境学习母语,但显然不需要纠正他们的错误。这种从“正面证据”中学习被认为给语言习得带来了“逻辑”问题。特别是,如果不进行纠正,孩子如何从猜测一个过于笼统的语法中恢复过来,而这个语法将与孩子听到的任何句子一致?关于如何解决这个“逻辑问题”,已经有很多建议。在这项研究中,我们回顾了最近的形式化结果,表明如果正例有利于语言输入的最简单编码,那么学习者就有足够的数据从正例中成功学习。结果包括语言预测、语法判断、语言生成和形式-意义映射的可学习性。简单性方法也可以“缩小”到分析特定语言结构的可学习性,并且它可以作为描述人类语言习得的框架进行实证检验。