at the 0.05/0.01 level, testing the 4 perplexity models as compared to EWT+WSJSent) domain data set that are similar to the sentences in the target domain rather than just selecting a portion of consecutive sentences.
can we identify sentences from the WSJ that will have the best impact on a parser for web data?