Editing my message :<br><br>The answer was in my question message : by using english grammar, i've succeed running MEGRASP on my training corpus. Now the MEGRASP function works on all my transcript, I now need to check if it seems reliable.<div><br></div><div>If anyone have tried the same experience on french trancripts, i would be very interesting on any feedback.</div><div><br></div><div>Regards,</div><div><br></div><div>Fagniart S.<br><br></div><div class="gmail_quote"><div dir="auto" class="gmail_attr">Le mercredi 29 juin 2022 à 20:29:46 UTC+2, sophie.fagniart@gmail.com a écrit :<br/></div><blockquote class="gmail_quote" style="margin: 0 0 0 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">Hi everyone,<div><br></div><div>I would like to study different syntactic measures on my transcripts, bit I saw that the MEGRASP function doesn't exist in the actual version of CLAN for french. I've also read in the manual that it would be possible to create a training corpus (and thus a megrasp.mod file), so i have two questions : </div><div>- can you confirm that It will be possible to use the training corpus to use MEGRASP on my french transcripts ? </div><div>- I've just tried the procedure described in the manual and I'm not sure if i'm doing it right ... </div><div>Here is a part of the CLAN output (running MEGRASP on a short training corpus in training mode) :</div><div> </div><div><i>Finished processing file with 7 and 1 errors.<br>widthfactor = 1.000000<br>preparing for estimation...<br>done<br>number of samples = 66<br>number of features = 599<br>calculating empirical expectation...<br>done<br>performing LMVM<br> 0 of 301 logl(err) = -2.708050 (0.4091)<br> 1 of 301 logl(err) = -1.856078 (0.4091)<br> 2 of 301 logl(err) = -1.780707 (0.4091)</i><br></div><div><i>....</i></div><div><i><br></i></div><div>But i didn't find any megrasp.mod file in the core files. Do i have to use the english grammar for this procedure, with the megrasp.mod file created with a french training corpus ? </div><div><br></div><div>Thanks a lot for your help,</div><div><br></div><div>Kind regards,</div><div><br></div><div>Fagniart S.</div></blockquote></div>
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