This document discusses research on the interplay between numerical and conversational processes, with a focus on markedness theory. In particular, it examines how qualitative cues like "half full" vs. "half empty" can influence numerical perceptions of quantities and estimates. Studies discussed show that unmarked terms like "big" and "full" tend to produce higher estimates than marked terms like "small" and "empty". Additional moderating factors identified include extremity, time, and spread of estimates.
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