<div dir="ltr">Thank you so much Stefan, it's exactly what I was looking for :-)<div>Best,</div><div>Stefania</div></div><div class="gmail_extra"><br><div class="gmail_quote">2016-12-13 10:50 GMT+01:00 Stefan Evert <span dir="ltr"><<a href="mailto:stefanML@collocations.de" target="_blank">stefanML@collocations.de</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><span class=""><br>
> On 13 Dec 2016, at 10:29, Stefania Spina <<a href="mailto:stefania.spina@unistrapg.it">stefania.spina@unistrapg.it</a>> wrote:<br>
><br>
> I'm running CWB 3.0 with a corpus of 350 texts, annotated with 350 different <text id"number"> tags.<br>
> Can you suggest a way to extract the number of types for each of the 350 texts?<br>
> With cwb-lexdecode -S I only get the total number of types.<br>
<br>
</span>That's because CWB doesn't keep statistics on individual texts, only for the entire corpus. You'll have to count types for each text yourself.<br>
<br>
On a Linux / Mac command line, the following should work:<br>
<br>
cwb-scan-corpus DICKENS text_id+0 word+0 | LANG=C cut -f2 | sort | uniq -c<br>
<br>
This will count the literal word forms. If you want lemmatized or case-insensitive counts, annotate them as a p-attribute and use it instead of word+0 above. Case-insensitive counts can also be achieved with some additional trickery on the command line.<br>
<br>
Best,<br>
Stefan<br>
<br>
<br>
<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div>Prof. Stefania Spina<br>Università per Stranieri di Perugia<br>Dipartimento di Scienze Umane e Sociali<br><a href="mailto:stefania.spina@unistrapg.it" target="_blank">stefania.spina@unistrapg.it</a><br><a href="https://unistrapg.academia.edu/StefaniaSpina" target="_blank">https://unistrapg.academia.edu/StefaniaSpina</a><br><br></div></div></div>
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