Merge branch 'dutch-201504' into ftfy4

Conflicts:
	setup.py

Former-commit-id: 24a7c73e6d
This commit is contained in:
Rob Speer 2015-05-05 12:04:44 -04:00
commit d7ea4c420c
9 changed files with 44653 additions and 47 deletions

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@ -1,3 +1,4 @@
from __future__ import unicode_literals
from collections import defaultdict
import sqlite3
import codecs
@ -47,14 +48,15 @@ def _read_csv_basic(filename):
counts = {}
for line in infile:
line = line.rstrip(u'\n')
word, count = line.rsplit(u',', 1)
if ',' in line:
line = line.rstrip('\n')
word, count = line.rsplit(',', 1)
count = float(count)
counts[standardize_word(word)] = count
return counts
NUMBER_RE = re.compile(u'[0-9]+')
NUMBER_RE = re.compile('[0-9]+')
def read_leeds_corpus(filename):
"""
Load word frequencies from a "Web as Corpus" file, collected and
@ -68,9 +70,9 @@ def read_leeds_corpus(filename):
for line in infile:
line = line.rstrip()
if line:
rank = line.split(u' ')[0]
if NUMBER_RE.match(rank) and line.count(u' ') == 2:
_, freq, token = line.split(u' ')
rank = line.split(' ')[0]
if NUMBER_RE.match(rank) and line.count(' ') == 2:
_, freq, token = line.split(' ')
token = standardize_word(ftfy(token))
freq = float(freq)
counts[token] += freq
@ -131,6 +133,24 @@ def get_db_connection(filename):
return sqlite3.connect(filename)
def read_leeds_wordlist_into_db(conn, filename, dbname, lang):
logger.info("Loading %r" % filename)
wordlist = read_leeds_corpus(filename)
save_wordlist_to_db(conn, dbname, lang, wordlist)
def read_wordlist_into_db(conn, filename, dbname, lang='*'):
logger.info("Loading %r", filename)
if lang == '*':
multi_wordlist = read_multilingual_csv(filename)
for lang in multi_wordlist:
logger.info("\tLanguage: %s", lang)
save_wordlist_to_db(conn, dbname, lang, multi_wordlist[lang])
else:
wordlist = read_csv(filename)
save_wordlist_to_db(conn, dbname, lang, wordlist)
LEEDS_LANGUAGES = ('ar', 'de', 'el', 'es', 'fr', 'it', 'ja', 'pt', 'ru', 'zh')
def load_all_data(source_dir=None, filename=None, do_it_anyway=False):
"""
@ -157,53 +177,29 @@ def load_all_data(source_dir=None, filename=None, do_it_anyway=False):
if filename is None:
filename = config.DB_FILENAME
def wordlist_path(*pieces):
return os.path.join(source_dir, *pieces)
logger.info("Creating database")
conn = create_db(filename)
logger.info("Loading Leeds internet corpus:")
for lang in LEEDS_LANGUAGES:
logger.info("\tLanguage: %s" % lang)
filename = os.path.join(
source_dir, 'leeds', 'internet-%s-forms.num' % lang
)
wordlist = read_leeds_corpus(filename)
save_wordlist_to_db(conn, 'leeds-internet', lang, wordlist)
filename = wordlist_path('leeds', 'internet-%s-forms.num' % lang)
read_leeds_wordlist_into_db(conn, filename, 'leeds-internet', lang)
logger.info("Loading Google Books (English).")
google_wordlist = read_csv(
os.path.join(source_dir, 'google', 'google-books-english.csv')
)
save_wordlist_to_db(conn, 'google-books', 'en', google_wordlist)
read_wordlist_into_db(conn, wordlist_path('google', 'google-books-english.csv'), 'google-books', 'en')
read_wordlist_into_db(conn, wordlist_path('luminoso', 'twitter-52M.csv'), 'twitter', 'xx')
read_wordlist_into_db(conn, wordlist_path('luminoso', 'twitter-stems-2014.csv'), 'twitter-stems', '*')
read_wordlist_into_db(conn, wordlist_path('luminoso', 'twitter-surfaces-2014.csv'), 'twitter-surfaces', '*')
logger.info("Loading combined multilingual corpus:")
multi_wordlist = read_multilingual_csv(
os.path.join(source_dir, 'luminoso', 'multilingual.csv')
)
multi_wordlist = read_multilingual_csv(wordlist_path('luminoso', 'multilingual.csv'))
for lang in multi_wordlist:
logger.info("\tLanguage: %s" % lang)
save_wordlist_to_db(conn, 'multi', lang, multi_wordlist[lang])
logger.info("Loading Twitter corpus.")
twitter_wordlist = read_csv(
os.path.join(source_dir, 'luminoso', 'twitter-52M.csv')
)
save_wordlist_to_db(conn, 'twitter', 'xx', twitter_wordlist)
logger.info("Loading stemmed Twitter corpus.")
twitter_stems_wordlist = read_multilingual_csv(
os.path.join(source_dir, 'luminoso', 'twitter-stems-2014.csv')
)
for lang in twitter_stems_wordlist:
logger.info("\tLanguage: %s" % lang)
save_wordlist_to_db(conn, 'twitter-stems', lang, twitter_stems_wordlist[lang])
logger.info("Loading unstemmed Twitter corpus.")
twitter_surface_wordlist = read_multilingual_csv(
os.path.join(source_dir, 'luminoso', 'twitter-surfaces-2014.csv')
)
for lang in twitter_surface_wordlist:
logger.info("\tLanguage: %s" % lang)
save_wordlist_to_db(conn, 'twitter-surfaces', lang, twitter_surface_wordlist[lang])
# Load Dutch from a separate source. We may end up with more languages like this.
read_wordlist_into_db(conn, wordlist_path('luminoso', 'nl-combined-201504.csv'), 'surfaces', '*')
logger.info("Done loading.")

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@ -5,7 +5,7 @@ DB_DIR = (os.environ.get('WORDFREQ_DATA')
or os.path.expanduser('~/.cache/wordfreq'))
# When the minor version number increments, the data may change.
VERSION = '0.5.0'
VERSION = '0.7.0'
MINOR_VERSION = '.'.join(VERSION.split('.')[:2])
# Put these options together to make a database filename.

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