Hello, I would like to extend the classification of named entities of Freeling, improving the ones that already exist and adding some new ones, where can I get the corpus with which the model that comes by default in Freeling was trained? the language in which I want to do this is in Spanish.

Dear all,

I have just installed FreeLing 4.2 in a MacBook (iOS Catalina) and the language pack.
I amb new on FreeLing and I am not very used to use Terminal.

I'd like to tag a text in Catalan. The file TXT (UTF 8) is in the Documents directory.

When I try some command, I'll get this:

How can I obtain a semantic graph using Freeling with ruby?

I am trying to extract NER with python but I still cannot find any tutorial so I am trying with the analizer, when executing a basic line like this the analizer is blocked and does nothing else, does anyone have any idea why this happens?
analyze -f es.cfg --ner --nec mytext > out

Hello,
I am using Freeling 4.1 in Windows environment that I installed from scratch with python 3 , for Portuguese language. I would like to know how can I change the language in sample.py from English to Portuguese without needing “quantities.dat” because that function does not exist in the “pt” folder and when I remove it the rest of the code doesn’t work because it doesn’t have the needed output of “quantites.dat”.

Hello. I'm using freeling in python to analyze a set of newspaper articles in Spanish. I've updated the location gazetteers with a bunch of locations and I've removed all locations from other gazetteers (i.e. organization) because it would return some location as ORG and all I need are locations. I'm analyzing my text with tokenizer, splitter, ner-ab-rich.dat NER and finally nec-ab-rich.dat NEC (all with the default configuration, I haven't changed them). I'm having a problem with the two following sentences:
1- Título: VIRUS ZIKA - BRASIL: (SP) PRIMER CASO AUTOCTONO.

Hi,

I'm experiencing an issue with the analyser. When I want to analyze the given text:

"E
después
leuanto
se
dela
oracion
⁊
acometio
co
cinquenta
cavalleros
solos
a
ochenta
mil
enemigos"

The result I get is:

First of all, I apologize for bothering you with too many queries these days...

Is there any option to separate sentences by predicate and subject with Freeling from python?

Thank you very much

Good morning Forum,

I have noticed that Freeling has several functionss related to lists of paragraphs but, the examples only focus on sentences and words, so it's difficult working with paragraphs.
Can I have any help with this, extracting paragraphs from a text?

This is wonderful to work with sentences:

## -----------------------------------------------
## Do whatever is needed with analyzed sentences
## -----------------------------------------------
def ProcessSentences(ls):

Hello Forum,

I am working with the first example (example01.py.md) that is postered on the Freeling gitbook tutorial, but when I run the code, the analysis doesn't seem to be correct. The labels assigned to some words doesn't actually match with the real type of word. For example, some verbs are labeled as nouns.

This is the function that seem to be failing:
#! /usr/bin/python3

import pyfreeling
import sys