Like the others have said, you weight your data according to the relative number of words the "average well educated person" hears/reads from each source. Which you have no practical way of determining, because as far as I know there has been no study of how "average well educated people" spend their time absorbing information.
You could guess, but the answers you eventually get will get will be meaningless, as the answers will reflect your weightings just as much as the data, and you have no means of weighting the data. Or rather, each possible weighting just reflects your arbitrary assumption of what an "average educated person" sees or hears.
So for example (somebody else's example) the average educated person spends zero time reading academic journals, so that's a zero. The readership of the internet, of novels, watching TV etc varies enormously across "average educated person". How do you "weight" words that appear in incidental dialogue on some reality TV show with words read on a web page? These are completely different media.
You have (I believe) zero chance on forming numbers which actually mean something by weighting the data and adding it together. You are weighting and adding apples and oranges.
The interesting thing is the variation between media of the vocabularies; add these together and you are throwing away the most interesting data.
If you are doing this because somebody asked you to, you need to either get a lot more information from them (as to why you are doing it) or tell them its impossible.
"Jennifer Murphy" <JenMurphy@jm.invalid> wrote in message news:firstname.lastname@example.org... > On Thu, 23 Feb 2012 13:56:58 -0500, Rich Ulrich > <email@example.com> wrote: > >>You give no hint, that I notice, of what it is that you >>are trying to accomplish. >> >>For most purposes of inference that come to my mind, >>the extreme cases -- the ones that you seem to propose >>to drop -- are the most informative and most interesting. >>So I conclude that your interests are probably the opposite >>(in some fashion) from what my naive interests would be. >> >>I repeat-- What are you trying to do? > > I am trying to calculate for each word the relative likeliness that it > would be encountered by an average well-educated person in their daily > activities: reading the paper, listening to the news, attending classes, > talking to other people, reading books, etc. > > The raw scores that I have already do that, but I question the > weighting.I do not think that the average person encounters the types of > words typically found in academic journals at the same frequency as they > would those found in newspapers or magazines. Therefore, I want to > re-weight the five sources to reflect a more average experience.