Relationships Display

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The Relationships procedure contains a number of columns and uses various formulae:

 

MI_sortMI

 

Word 1: the first word in a pair, followed by Freq. (its frequency in the whole index).

Word 2: the other word in that pair, followed by Freq. (its frequency in the whole index). If you have computed "to right only", then Word 1 precedes Word 2.

Texts: the number of texts this pair was found in (there were 56 in the whole index).

Gap: the most typical distance between Word 1 and Word 2.

Joint: their joint frequency over the entire span (not just the joint frequency at the typical gap distance).

 

In line 2 of this display, PURSE occurs 6 times in the whole index, and STRINGS 5 times. They occur together 5 times -- in other words in this little corpus, strings is always part of the combination purse + strings. The gap is 1 because strings, in these data, typically comes 1 word away from purse. The pair purse strings comes in 3 texts.  

 

As usual, the data can be sorted by clicking on the headers. Above, it was sorted by clicking on "MI" first and "Word 1" second.

 

mutual_information_sort

 

You get a double sort, main and secondary, because sometimes you will want to see how MI or Z score or other sorting affects the whole list and sometimes you will want to keep the words sorted alphabetically and only sort by MI or Z score within each word-type. Press Swap to switch the primary & secondary sorts.

 

Compare this with the display sorted by Z Score (Oakes p. 163).

 

MI_sortZ

 

TED HEATH (a UK Prime Minister of the 1970s) is still top and SPEAKERS ... VOUCH still visible, but some other items have moved in.

 

Here is the display sorted by MI3 Score (Oakes p. 172):

 

MI_sortMI3

 

Much more frequent items have jumped to the top.

 

Finally, by Log Likelihood (Dunning, 1993):

 

MI_sortLogL

 

Here the Word 2 items are very high frequency ones and we get at colligation (grammatical collocation).

 

See also: Formulae, Mutual Information and other relationships, Computing Relationships, Making an Index List, Viewing Index Lists, WordList Help Contents.

 

See Oakes for further information about the various statistics offered.

 

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