Setting Syntactic Parameters with Implicit Negative Evidence: The Case of Zero-derived Causatives in English
نویسنده
چکیده
In this paper, I introduce a learning challenge for various models of parameter setting in generative syntax, namely a scenario where all input to the learner underdetermines the target parameter setting. This scenario is exemplified by the case of zero-derived causatives in English, as discussed in Pylkkänen (2008). I then propose a model for parameter setting that uses a simple Bayesian learning procedure to learn from implicit negative evidence and arrive at the target parameter setting.
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