def featureExtractor(spoken, target, words, sentences, return_feats=False):
prefmap = makePrefixLangMapping()
feats = {}
prefixes = scanForMultipleLanguages(target, words)
for pref in prefmap:
feats["other_langs({0})".format(pref)] = 0
for prefix in prefixes:
feats["other_langs({0}".format(prefix)] = 1
vec = DictVectorizer()
pos_vectorized = vec.fit_transform(feats)
pos_vectorized.toarray()
if return_feats: return feats, vec
else: return vec
def featureExtractor(spoken, target, words, sentences, return_feats=False):
prefmap = makePrefixLangMapping()
feats = {}
prefixes = scanForMultipleLanguages(target, words)
for pref in prefmap:
feats["other_langs({0})".format(pref)] = 0
for prefix in prefixes:
feats["other_langs({0}".format(prefix)] = 1
vec = DictVectorizer()
pos_vectorized = vec.fit_transform(feats)
pos_vectorized.toarray()
if return_feats:
return feats, vec
else:
return vec
def returnEntryVersusTarget(self, datalist):
'''Some users write in a language that is different from their target language
(i.e. if they are practicing a language that they didn't specify that they were
learning, or if they are writing an entry in their native language asking someone
to translate something for them). This function counts how many of these instances
exist in the specified dataset.'''
t0 = time()
prefmap = makePrefixLangMapping()
not_orig_lang = 0
for data in datalist:
blob = TextBlob(data[self.ENTRY])
entrylang = blob.detect_language()
islang = True
for d in data[self.STUDYING].split():
if entrylang not in prefmap: continue
if prefmap[entrylang] == d: continue
not_orig_lang += 1
print("Took %s seconds" % (time() - t0))
print("Of %s entries, there are %s entries written in a different language than specified" %
(len(datalist), not_orig_lang))
def returnEntryVersusTarget(self, datalist):
'''Some users write in a language that is different from their target language
(i.e. if they are practicing a language that they didn't specify that they were
learning, or if they are writing an entry in their native language asking someone
to translate something for them). This function counts how many of these instances
exist in the specified dataset.'''
t0 = time()
prefmap = makePrefixLangMapping()
not_orig_lang = 0
for data in datalist:
blob = TextBlob(data[self.ENTRY])
entrylang = blob.detect_language()
islang = True
for d in data[self.STUDYING].split():
if entrylang not in prefmap: continue
if prefmap[entrylang] == d: continue
not_orig_lang += 1
print("Took %s seconds" % (time() - t0))
print(
"Of %s entries, there are %s entries written in a different language than specified"
% (len(datalist), not_orig_lang))