Before revision:  We describe these experiments, analyze the resulting corpus of utterances with natural language processing techniques and derive an empirically supported semantic lexicon for aligning visualizations and verbalizations of data. Our results indicate a wide range of vocabulary used to describe visualizations and led to a number of high level concepts to categorize the space of words and related utterances .
After revision:  We describe these experiments, analyze the resulting corpus of utterances with natural language processing techniques and qualitative analysis, we extract key URLanize them in a taxonomy and analyze the responses. We observe that responses involve multiple themes with distinct occurrence profiles across scatterplots, and a comparison between studies reveals similarities and differences between the processes of producing and interpreting the verbal descriptions .