Simulating Language 2015, pre-reading 6 questions Question Title * 1. In your own words, what is the structural difference between a recursively consistent and recursively inconsistent grammar? Question Title * 2. Which of the following statements captures the simulation results from Christiansen & Devlin's neural network model? Grammars exhibiting recursive inconsistency lead to lower Mean Squared Error after a fixed period of training. Grammars exhibiting recursive inconsistency lead to higher Mean Squared Error after a fixed period of training. Question Title * 3. Which of the following statements captures Christiansen & Devlin's analysis of cross-linguistic variation? Grammars exhibiting recursive inconsistency are relatively rare Grammars exhibiting recursive inconsistency are relatively common Question Title * 4. Why do you think Christiansen & Devlin use an SRN to test the learnability of different grammars? SRNs have language-specific knowledge built in. Unlike basic feedforward networks, SRNs are capable of sequence learning SRNs do not have language-specific knowledge built in. Running neural network simulations is easier than running experiments with humans. Like basic feedforward networks, SRNs are capable of sequence learning Question Title * 5. In your own words, explain why learnability of a language might be correlated with the frequency of that language type in the world's languages.[Edit: This question previously said "inversely correlated", sorry! Thanks to the person who pointed this out. I was thinking of MSE being inversely correlated with frequency. Plus I am a goof.] Question Title * 6. Is there anything you would like me to know before the lecture - any stuff you want me to go over again, anything you struggled with, any worries you have? Done