with_lsa = False
# load vector spaces
if with_lsa:
tl.nyt_sim = tl.Sim('_vsm_data/nyt_words.txt', '_vsm_data/nyt_word_vectors.txt')
tl.wiki_sim = tl.Sim('_vsm_data/wikipedia_words.txt', '_vsm_data/wikipedia_word_vectors.txt')
# create training instances
train_dir = "../../data/STS2012-train"
for data in "MSRpar", "MSRvid", "SMTeuroparl":
out_fname = "_npz_data/_STS2012.train.{}.npz".format(data)
sys.stderr.write("creating {}\n".format(out_fname))
tl.generate_features("{}/STS.input.{}.txt".format(train_dir, data),
"{}/STS.gs.{}.txt".format(train_dir, data),
outf=out_fname,
out_format="numpy",
with_lsa=with_lsa)
# create test instances
test_dir = "../../data/STS2012-test"
for data in "MSRpar", "MSRvid", "SMTeuroparl", "surprise.OnWN", "surprise.SMTnews":
out_fname = "_npz_data/_STS2012.test.{}.npz".format(data)
sys.stderr.write("creating {}\n".format(out_fname))
tl.generate_features("{}/STS.input.{}.txt".format(test_dir, data),
"{}/STS.gs.{}.txt".format(test_dir, data),
outf=out_fname,
out_format="numpy",
with_lsa=with_lsa)
#!/usr/bin/python
"""
make features for part of hlines
"""
# NB I ran a variant of this on the Translate server
import sys
sys.path.append("./lib/python")
import takelab.simpfeats as tl
# load word counts for IC weighting
tl.wweight = tl.load_wweight_table("../wordfreq/_wordfreq_hlines.txt")
tl.minwweight = min(tl.wweight.values())
for in_fname in sys.argv[1:]:
out_fname = in_fname + ".npz"
sys.stderr.write("creating {}\n".format(out_fname))
tl.generate_features(in_fname,
outf=out_fname,
out_format="numpy",
with_lsa=False)
#!/usr/bin/python
"""
make features for part of hlines
"""
# NB I ran a variant of this on the Translate server
import sys
sys.path.append("./lib/python")
import takelab.simpfeats as tl
# load word counts for IC weighting
tl.wweight = tl.load_wweight_table("../wordfreq/_wordfreq_hlines.txt")
tl.minwweight = min(tl.wweight.values())
for in_fname in sys.argv[1:]:
out_fname = in_fname + ".npz"
sys.stderr.write("creating {}\n".format(out_fname))
tl.generate_features(in_fname, outf=out_fname, out_format="numpy", with_lsa=False)
