You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi @jeroen!
Thank you so much for this development, it runs so smooth and it's so useful!
I have been doing some manual tagging for Spanish tags and have found some things that might be interesting but I am unsure if this would be useful for this wrapper and was wondering if you could point me towards the right direction.
For instance, from a list of conference titles, those in "Spanglish" got tagged as English w/cld2 and as Spanish with cld3, + while cld3 got real better at distinguishing Galician from Spanish there are more than a few times where it gets these tags wrong.
Can you think about someone who could benefit from my manually tagged dataset?
The text was updated successfully, but these errors were encountered:
You could ask the authors of the cld3 library: https://github.com/google/cld3
And of course you always publish interesting datasets as an R package, just like e.g. nycflights13
Hi @jeroen!
Thank you so much for this development, it runs so smooth and it's so useful!
I have been doing some manual tagging for Spanish tags and have found some things that might be interesting but I am unsure if this would be useful for this wrapper and was wondering if you could point me towards the right direction.
For instance, from a list of conference titles, those in "Spanglish" got tagged as English w/cld2 and as Spanish with cld3, + while cld3 got real better at distinguishing Galician from Spanish there are more than a few times where it gets these tags wrong.
Can you think about someone who could benefit from my manually tagged dataset?
The text was updated successfully, but these errors were encountered: