Before revision:  We train LSTMs on non-linguistic , structured data and test their performance on human language to assess which kinds of data induce generalizable encodings that LSTMs can use for natural language.
After revision:  We train LSTMs on non-linguistic , structured data and test their performance on human language to assess which kinds of data induce generalizable structural features that LSTMs can use for natural language.