def test_parse_segment_scores(self):
scores = parse_segment_scores(score_fname)
assert scores.shape[0] == 2489
assert_almost_equal(scores[0]["NIST"], 1.1990)
assert_almost_equal(scores[0]["BLEU"], 0.0375)
Scores were generated by running scratch/centroid.py
"""
from pylab import *
from tg.mteval import parse_segment_scores
n = 0
figure(figsize=(9, 14))
for data_set in "metis", "presemt-dev":
for lang_pair in "de-en", "en-de":
scores_fname = "centroid/_centroid_{}_{}/centroid_{}_{}.scores".format(
data_set, lang_pair, data_set, lang_pair)
scores = parse_segment_scores(scores_fname)
for measure in "BLEU", "NIST":
n += 1
ax = subplot(4, 2, n)
r = np.corrcoef(scores["words"], scores[measure])[1,0]
title('{}_{}\n(n={}, r={:.4f})\n'.format(data_set,
lang_pair,
scores.shape[0],
r))
xlabel("#words")
ylabel(measure)
xmax = 20 if data_set == "metis" else 50
xlim(0, xmax)
