Collocation Relationship

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The point of it...

The idea is to find out how strongly each collocate relates to the search-word near which it was found. MI (or other relevant statistic) is not computed by default for a collocate list.


How to compute it

In the Concord menu, choose Compute | Relationships:





1.Suppose you have made a concordance using all the files in Documents\wsmith5\text\shakespeare and have done a concordance on love. You see collocates such as Romeo, hate, the, Juliet, Nurse etc. All these show a "Relation" score of "??" because they haven't yet been computed.
2.If you haven't done so yet, use WordList to make a word list of the same text files (or if you prefer, use some other reference corpus). Make sure the reference corpus file is what you prefer.
3.Now choose the menu item mutuali and Concord will use the reference corpus filename. It will look up each of your collocates in the word list and compute MI using the information in the reference corpus word list.

You can choose a different statistic in the main Controller Concord settings.


Note: if one of your search-terms has a space in it such as Friar Lawrence, an ordinary single-word word list won't know its frequency and you will be asked to supply it. If you don't know, you should compute a concordance on that search-phrase over the same corpus first.



Full lemma processing, case sensitive

These should be checked if your word list has any lemmatised entries, or it is a case-sensitive word list.


Relation statistic

Choose which type of relation you wish to compute. The default is Specific Mutual Information but in the screenshot Z score has been chosen.




Column for relation

The default is "Total" but you can choose some other column's data: collocate_relationship_choices_dropdown



See also: Collocation, Collocate display, Mutual Information



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