def process_word(s):
if any( [l in string.ascii_lowercase for l in s] ):
s = jaffna_transliterate(s)
#print(u"Transliterated to %s"%s)
#print(u"Checking in NN '%s'"%s)
try:
f = Feature.get(s)
scaled_feature = scaler.transform( np.array( f.data() ).reshape(1,-1) )
y = nn.predict(scaled_feature )
#print( scaled_feature )
#print( y )
if y.ravel() > 0:
return u"%s என்பது தமிழ் வார்த்தையாக இருக்கலாம்"%s
else:
return u"%s என்பது ஆங்கில வார்த்தையாக இருக்கலாம்"%s
except Exception as ioe:
return ioe.message
return
def process_word(s):
if any([l in string.ascii_lowercase for l in s]):
s = jaffna_transliterate(s)
#print(u"Transliterated to %s"%s)
#print(u"Checking in NN '%s'"%s)
try:
f = Feature.get(s)
scaled_feature = scaler.transform(np.array(f.data()).reshape(1, -1))
y = nn.predict(scaled_feature)
#print( scaled_feature )
#print( y )
if y.ravel() > 0:
return u"%s என்பது தமிழ் வார்த்தையாக இருக்கலாம்" % s
else:
return u"%s என்பது ஆங்கில வார்த்தையாக இருக்கலாம்" % s
except Exception as ioe:
return ioe.message
return
def process_word(s):
if any([l in string.ascii_lowercase for l in s]):
s = jaffna_transliterate(s)
print(u"Transliterated to %s" % s)
print(u"Checking in NN '%s'" % s)
try:
f = Feature.get(s)
scaled_feature = scaler.transform(np.array(f.data()).reshape(1, -1))
y = nn.predict(scaled_feature)
print(scaled_feature)
print(y)
if y.ravel() > 0:
print(u"%s -> TAMIL world (most likely)" % s)
else:
print(u"%s -> ENG word (most likely)" % s)
except Exception as ioe:
print("SKIPPING => ", ioe.message)
return
def process_word(s):
if any( [l in string.ascii_lowercase for l in s] ):
s = jaffna_transliterate(s)
print(u"Transliterated to %s"%s)
print(u"Checking in NN '%s'"%s)
try:
f = Feature.get(s)
scaled_feature = scaler.transform( np.array( f.data() ).reshape(1,-1) )
y = nn.predict(scaled_feature )
print( scaled_feature )
print( y )
if y.ravel() > 0:
print(u"%s -> TAMIL world (most likely)"%s)
else:
print(u"%s -> ENG word (most likely)"%s)
except Exception as ioe:
print("SKIPPING => ",ioe.message)
return