with TextAnalysis.jl
anymore.
— John
On Jun 9, 2014, at 3:13 AM, Milan Bouchet-Valat nali...@club.fr
javascript: wrote:
Le dimanche 08 juin 2014 à 13:57 -0700, Matías Guzmán Naranjo a écrit :
I am working on a library for doing corpus linguistics with Julia (out
of my frustration
I'll eventually add some basic POS tagging and Parser. This may take a bit
of time though. For now I'm thinking of just making a python wrapper for
FreeLing.
El martes, 10 de junio de 2014 00:05:10 UTC+2, Matías Guzmán Naranjo
escribió:
I don't have too much experience in NLP, I am a corpus
I must have missed that then.
El martes, 10 de junio de 2014 04:38:54 UTC+2, John Myles White escribió:
There’s lots of tools for working with files without loading them in
TextAnalysis.jl.
— John
On Jun 9, 2014, at 3:05 PM, Matías Guzmán Naranjo morte...@gmail.com
javascript: wrote
Is it just my impression or Python's regular expressions are much faster
than julia's?
In my machine:
Python 2:
%timeit a = re.sub(r[,\.;:'\!¡?¿_\n/\t\(\)\{\}\[\]\- ], !%, text)
1 loops, best of 3: 302 ms per loop
Julia
@time a = replace(f, r[,\.;:'\!¡?¿_\n/\t\(\)\{\}\[\]\- ], !%);
elapsed
, but it shouldn't be this slow.
On Saturday, June 21, 2014 4:12:55 PM UTC-7, Matías Guzmán Naranjo wrote:
Is it just my impression or Python's regular expressions are much faster
than julia's?
In my machine:
Python 2:
%timeit a = re.sub(r[,\.;:'\!¡?¿_\n/\t\(\)\{\}\[\]\- ], !%, text)
1 loops, best
