Mathieu Chateau

I did not receive git mail after your reply sorry. Suscribing now to the list

Second warning during same run on another line (248): ``` lib/python3.9/site-packages/fast_bert/data_cls.py:248: DtypeWarning: Columns (0,1) have mixed types. Specify dtype option on import or set low_memory=False. data_df = pd.read_csv(os.path.join(self.data_dir, filename)) ```

Also in french "domicile" becomes "domicil" which is not correct but "domiciles" (plural) become correctly "domicile". A sanity check can be added :double lemmatization should not change result. ``` NLP_FR...

> The French lemmatizer in the v3.7 trained pipelines is a rule-based lemmatizer that depends on the part-of-speech tags from the statistical tagger to choose which rules to apply. In...

@adrianeboyd ok thanks for explanation. I guess spacy remove the last character when it encounter an unknown word to lemmatize. It mostly hurts from my point of view ```python NLP_FR("xxxxx")[0].lemma_...

@adrianeboyd thanks, using rules returns same results as before with 3.2, which are much better in our case. Also, using rules, no more removing of "x" in "xxxxx"

Looks promising, i will dig. I already have some functions to clean text like from tweets etc. I am mass injecting 5000 documents with 80 pages each in average. Maybe...

I tried to do it through Pull request 119 https://github.com/dustinchilson/NLog.Targets.GraylogHttp/pull/119

> Sorry, I completely missed this case. > > what is you're use case for signing the assembily? I build a sotfware, which is protected by SmartAssembly. This require strong...

Same on raspberry pi 4. Adding these to hostapd.conf did the trick indeed: ``` interworking=0 hs20=0 ```