Language learning from positive evidence, reconsidered: A simplicity-based approach
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Abstract (arXiv)
Children learn their native language by exposure to their linguistic and communicative environment, but apparently without requiring that their mistakes are 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. Here, we review recent formal results showing that the learner has sufficient data to learn successfully from positive evidence, if it favours the simplest encoding of the linguistic input. Results include the ability to learn a linguistic prediction, grammaticality judgements, language production, and form-meaning mappings. The simplicity approach can also be scaled-down to analyse the ability to learn a specific linguistic constructions, and is amenable to empirical test as a framework for describing human language acquisition.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jan 2013.
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2 papers.
- 2025Can Language Models Learn Typologically Implausible Languages?17 Feb 2025
- 2024Is it the end of (generative) linguistics as we know it?17 Dec 2024