def value_for_text(self, t, rp=default_rp):
mean_words_per_sentence = WordsPerSentence().value_for_text(t)
syllables = chain.from_iterable(
map(syllable_separator.separate, rp.all_words(t)))
mean_syllables_per_word = ilen(syllables) / ilen(rp.all_words(t))
flesch = 248.835 - 1.015 * mean_words_per_sentence\
- 84.6 * mean_syllables_per_word
return flesch
def value_for_text(self, t, rp=default_rp):
mean_words_per_sentence = WordsPerSentence().value_for_text(t)
syllables = chain.from_iterable(
map(syllable_separator.separate, rp.all_words(t)))
mean_syllables_per_word = ilen(syllables) / ilen(rp.all_words(t))
flesch = 248.835 - 1.015 * mean_words_per_sentence\
- 84.6 * mean_syllables_per_word
return flesch
def value_for_text(self, t):
mean_words_per_sentence = WordsPerSentence().value_for_text(t)
syllables = chain.from_iterable(
map(syllable_separator.separate, t.all_words))
mean_syllables_per_word = ilen(syllables) / ilen(t.all_words)
flesch = 164.835 - 1.015 * mean_words_per_sentence\
- 84.6 * mean_syllables_per_word
return flesch
def value_for_text(self, t):
mean_words_per_sentence = WordsPerSentence().value_for_text(t)
syllables = chain.from_iterable(
map(syllable_separator.separate, t.all_words))
mean_syllables_per_word = ilen(syllables) / ilen(t.all_words)
flesch = 164.835 - 1.015 * mean_words_per_sentence\
- 84.6 * mean_syllables_per_word
return flesch
def value_for_text(self, t, rp=default_rp):
parse_trees = rp.parse_trees(t)
sent_indices = []
for tree in parse_trees:
nps = 0
mods = 0
for np in toplevel_NPs(tree):
nps += 1
mods += ilen(
np.subtrees(lambda s: s.label() in ('ART', 'A', 'ADV')))
if nps != 0:
sent_indices.append(mods / nps)
return sum(sent_indices) / len(sent_indices) if sent_indices else 0
def value_for_text(self, t, rp=default_rp):
pronouns = filter(pos_tagger.tagset.is_pronoun, rp.tagged_words(t))
return ilen(pronouns) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t):
return ilen(t.sentences)
def value_for_text(self, t, rp=default_rp):
adverbs = [
t for t in rp.tagged_words(t) if pos_tagger.tagset.is_adverb(t)
or pos_tagger.tagset.is_denotative_word(t)
]
return ilen(adverbs) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t):
function_words = filter(pos_tagger.tagset.is_function_word,
t.tagged_words)
return ilen(function_words) / ilen(t.all_words)
def value_for_text(self, t):
return ilen(t.sentences)
def value_for_text(self, t):
pronouns = filter(pos_tagger.tagset.is_pronoun, t.tagged_words)
return ilen(pronouns) / ilen(t.all_words)
def value_for_text(self, t):
pronouns = filter(pos_tagger.tagset.is_pronoun, t.tagged_words)
return ilen(pronouns) / ilen(t.all_words)
def value_for_text(self, t, rp=default_rp):
pronouns = filter(pos_tagger.tagset.is_pronoun, rp.tagged_words(t))
return ilen(pronouns) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t, rp=default_rp):
function_words = filter(pos_tagger.tagset.is_function_word,
rp.tagged_words(t))
return ilen(function_words) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t, rp=default_rp):
adjectives = filter(pos_tagger.tagset.is_adjective, rp.tagged_words(t))
return ilen(adjectives) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t, rp=default_rp):
adverbs = [t for t in rp.tagged_words(t)
if pos_tagger.tagset.is_adverb(t)
or pos_tagger.tagset.is_denotative_word(t)]
return ilen(adverbs) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t, rp=default_rp):
return ilen(rp.paragraphs(t))
def value_for_text(self, t, rp=default_rp):
return ilen(rp.sentences(t))
def value_for_text(self, t):
return ilen(t.paragraphs)
def value_for_text(self, t, rp=default_rp):
function_words = filter(pos_tagger.tagset.is_function_word,
rp.tagged_words(t))
return ilen(function_words) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t):
function_words = filter(pos_tagger.tagset.is_function_word,
t.tagged_words)
return ilen(function_words) / ilen(t.all_words)
def value_for_text(self, t):
content_words = filter(pos_tagger.tagset.is_content_word,
t.tagged_words)
return ilen(content_words) / ilen(t.all_words)
def value_for_text(self, t):
adverbs = filter(pos_tagger.tagset.is_adverb, t.tagged_words)
return ilen(adverbs) / ilen(t.all_words)
def value_for_text(self, t):
adverbs = filter(pos_tagger.tagset.is_adverb, t.tagged_words)
return ilen(adverbs) / ilen(t.all_words)
def value_for_text(self, t, rp=default_rp):
return ilen(rp.sentences(t))
def value_for_text(self, t):
content_words = filter(pos_tagger.tagset.is_content_word,
t.tagged_words)
return ilen(content_words) / ilen(t.all_words)
def value_for_text(self, t, rp=default_rp):
return ilen(rp.paragraphs(t))
def value_for_text(self, t):
return ilen(
filterfalse(pos_tagger.tagset.is_punctuation, t.tagged_words))
def value_for_text(self, t, rp=default_rp):
adjectives = filter(pos_tagger.tagset.is_adjective, rp.tagged_words(t))
return ilen(adjectives) / (ilen(rp.all_words(t)) / 1000)
def value_for_text(self, t):
return ilen(t.paragraphs)
def value_for_text(self, t):
return ilen(filterfalse(pos_tagger.tagset.is_punctuation,
t.tagged_words))