how to use the cut file to include and exclude words with freq

[Leonid Spektor]

Janet,

	The problem with your '+s”[- eng]” +s at english.cut' command is that the +s”[- eng]” option tell FREQ to only look on utterances that have "[- eng]" pre-code. So if words from "english.cut" file are not present on utterances with "[- eng]" pre-code, then those word will not be found.

The command "freq +u +o3 +f +l +s*@s:eng" is the right choice. If you want lemmas, then you need to add "+sm;*,o% +d7" options. Try command:

freq +u +o3 +f +l +sm;*,o% +s*@s:eng +d7

If this doesn't work, then please email to me directly some sample file of your data to see what FREQ has to work with.


Leonid.

> On Dec 13, 2018, at 19:40, Janet Bang <jbang at stanford.edu> wrote:
> 
> Hello,
> 
> We have questions about how to use cut files with freq. 
> 
> We have a list of words we want to exclude from our freq count, and other times include in our freq count. 
> 
> When we exclude, our command is the following below. With this command we would like a count of lemmas on the %mor line, excluding utterances with the english precode, and excluding a list of additional english words in our cut file. This code appears to work fine on our test files.
> 
> freq +f +u +o3 +sm;*,o% -s”[- eng]” -s at english.cut <mailto:s at english.cut> @
> 
> english.cut file set up:
> co|please
> co|thank_you
> 
> 
> However, in another command we would like to get a freq count on lemmas for only those utterances with [- eng]  AND including the same words in the cut file (This would give us a count of all english words in the file, those in english-only utterances and single words). We've tried the following command, but this only provides lemmas on the [- eng] lines and does not include the words in the cut file. 
> 
> freq +f +u +o3 +sm;*,o% +s”[- eng]” +s@ <mailto:s at english.cut>english.cut <mailto:s at english.cut> @
> 
> Does the command or cut file need to written differently if I want to now include those words in my freq count? We know that another option could be to tag all the words in the cut file with an @s and use the following command below, but we were trying out other possibilities.
> 
> freq +u +o3 +f +l +s*@s:eng @
> 
> Thank you in advance,
> Janet
> 
> --
> Janet Y. Bang, Ph.D.
> Postdoctoral Fellow
> Department of Psychology
> Stanford University
> 
> jbang at stanford.edu <mailto:jbang at stanford.edu>
> 
> 
> 
> 
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