nournia

import codecs
from search.models import Valency, Dependency

for verb in codecs.open('static/verbs.txt', encoding='utf8'):
    verb = verb.strip()
	count = len(Dependency().findVerbSentences(verb))
	for valency in Valency().find(verb):
		print '%-15s\t%s %s' % ('%d/%d' % (len(valency['sentences']), count), valency['verb']['surface'].encode('utf8'), Valency().str(valency['verb']['valency']).encode('utf8'))

nournia

from pymongo import Connection
connection = Connection()
dependencies = connection.dadegan.dependencies


def traverse(parent, node, chunk, force=False):
	words[int(node['index'])] = node

	if not chunk:

nournia

<meta charset="utf-8" />
<script type="text/javascript" src="http://code.jquery.com/jquery-1.10.2.min.js"></script>
<script type="text/javascript">
$(function() {
	$('img').wrap('<div class="figure"></div>').parent().parent().addClass('container').each(function() {
		$(this).find('img').after('<span class="title">'+ $(this).find('img').attr('alt') +'</span>');
	});
})
</script>
<style type="text/css">

nournia

from hazm import VerbValencyReader, Lemmatizer

valency = VerbValencyReader('/home/alireza/Corpora/valency.txt')

lemmatizer = Lemmatizer()

output = open('verbs.txt', 'w')
verbs = set([verb.past_light_verb +'#'+ verb.present_light_verb for verb in valency.verbs()])

nournia

# coding: utf8

from __future__ import unicode_literals

maketrans = lambda A, B: dict((ord(a), b) for a, b in zip(A, B))
buckwalter_transliteration = maketrans('\'>&<}AbptvjHxd*rzs$SDTZEg_fqklmnhwYyFNKaui~o^#`{:@"[;,.!-+%]', 'ءأؤإئابةتثجحخدذرزسشصضطظعغـفقكلمنهوىيًٌٍَُِّْٓٔٱۣۜ۟۠ۢۥۦ۪ۭۨ۫۬')

# usage
print 'r~aHoma`ni'.translate(buckwalter_transliteration)

nournia

# uses https://github.com/matthewdowney/TogglPy

from __future__ import print_function
import codecs
from TogglPy import Toggl
toggl = Toggl()

toggl.setAPIKey('<API_KEY>')

output = codecs.open('hours.csv', 'w', 'utf8')