def get_target_words(iphod,sound,sylpos,wordpos):
targets = []
for w in iphod:
w = Word(w['Word'],w['UnTrn'])
if w.istitle():
continue
if not w.in_position(sound,sylpos,wordpos):
continue
bad_segment = False
for s in SETTINGS['Avoided segments']:
if w.contains(s):
bad_segment = True
other_critical_segs = filter(lambda x: x != sound, SETTINGS['Critical segments']) + SETTINGS['Avoided segments']
for oc in other_critical_segs:
if w.neighbour_transcription(oc,sylpos,wordpos) in TRANS:
bad_segment = True
break
if w.segment_count(oc) > 0:
bad_segment = True
break
if bad_segment:
continue
if w.segment_count(sound) > 1:
continue
targets.append({'Word':w.orthography,'Transcription':w.render_transcription()})
return targets
def get_filler_words(iphod,wordlist):
fillers = []
for w in iphod:
w = Word(w['Word'],w['UnTrn'])
if w.istitle():
continue
if w.orthography in wordlist:
continue
bad_segment = False
for s in SETTINGS['Avoided segments'] + SETTINGS['Critical segments']:
if w.contains(s):
bad_segment = True
if bad_segment:
continue
fillers.append({'Word':w.orthography,'Transcription':w.render_transcription()})
return fillers
def get_continuum_words(iphod):
words = []
sylpos = 'coda'
wordpos = 'final'
sound = 'S'
oc = 'SH'
for w in iphod:
w = Word(w['Word'],w['UnTrn'],frequency=np.log(float(w['SFreq'])))
if not w.in_position(sound,sylpos,wordpos):
continue
neighbour_trans = w.neighbour_transcription(oc,sylpos,wordpos)
if not neighbour_trans in TRANS:
continue
for w2 in iphod:
if w2['UnTrn'] == neighbour_trans:
words.append((w.orthography,w2['Word'],np.abs(w.frequency-np.log(float(w2['SFreq'])))))
return sorted(words,key=lambda x: x[2])
