| Abstract: | This paper proposes Recursive Neural Networks (RNNs) as phonological models. In order to demonstrate their effectiveness I revisit becker 2009 and becker surfeit 2011. Summarize its OT account of Turkish's stem final voicing alternations and criticize it on the grounds of implausible learnability, I then show how RNN structure based models would handle the same phenomenon in a simpler and more learnable manner ending in displaying results of an RNN topology used to model the phenomenon tracing its development motivation to such innate facts as the temporal nature of speech and the articulator. |
