suicao

from tqdm import tqdm
input_path = "./test_word_per_line.txt"
output_path = "./test_cleaned.txt"

curr_id = ""
curr_sent = []
with open(output_path,mode="wt", encoding="utf-8") as f:
	lines = open(input_path).readlines()
	for idx, line in tqdm(enumerate(lines)):
		if idx == 0:

suicao

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
import numpy as np


fig = plt.figure()
ax = fig.gca(projection='3d')

suicao

{
  "corpus": [
    {
      "words": [
        {
          "pos": "N",
          "text": "Căn_cứ"
        },
        {
          "pos": "N",