def getipa():
getipa = {}
if request.method == "POST":
text = request.json.get("text")
else:
text = request.args.get("text")
mlphon = PhoneticAnalyser()
ipa = mlphon.grapheme_to_phoneme(text)
return jsonify({"text": text, "IPA": ipa})
def g2p_analyse():
grapheme_analyse = {}
if request.method == "POST":
text = request.json.get("text")
else:
text = request.args.get("text")
text = text.strip()
mlphon = PhoneticAnalyser()
ipa_and_tags = mlphon.analyse(text)
# ipa_and_tags = [{'phonemes': [{'ipa': 'k', 'tags': ['plosive', 'voiceless', 'unaspirated', 'velar']}, {'ipa': 'a', 'tags': ['schwa']}]}, {'phonemes': [{'ipa': 'l', 'tags': ['lateral', 'alveolar']}, {'ipa': 'a', 'tags': ['schwa']}]}]
return jsonify({"text": text, "syllables": ipa_and_tags})
def syllablize():
"""Syllablize the input Malayalam string obtained by POST
Example: കേരളം
Returns
-------
json
syllables:["കേ","ര", "ളം"]
0: "കേ"
1: "ര"
2: "ളം"
text:"കേരളം"
"""
syllablize = {}
if request.method == "POST":
text = request.json.get("text")
else:
text = request.args.get("text")
text = text.strip()
mlphon = PhoneticAnalyser()
syllables = mlphon.split_to_syllables(text)
return jsonify({"text": text, "syllables": syllables})
class AnalyserGeneratorTests(unittest.TestCase):
def setUp(self):
self.csvfile = open(os.path.join(CURR_DIR, "data_syllable.tsv"))
self.datasyl = csv.reader(self.csvfile, delimiter="\t")
self.mlphon = PhoneticAnalyser()
def tearDown(self):
self.csvfile.close()
def test_analyse(self):
for row in self.datasyl:
with self.subTest():
anals = self.mlphon.split_to_syllables(row[0])
match = False
self.assertTrue(len(anals) != 0, "Syllablize failed for " + row[0])
print(row[0], "\t-->\t", anals)
if row[1] == str(anals):
match = True
self.assertEqual(match, True, "Syllablize for " + row[1])
class G2PTests(unittest.TestCase):
def setUp(self):
self.csvfile = open(os.path.join(CURR_DIR, "data_g2p.tsv"))
self.data_g2p = csv.reader(self.csvfile, delimiter="\t")
self.mlphon = PhoneticAnalyser()
def tearDown(self):
self.csvfile.close()
def test_g2p(self):
for row in self.data_g2p:
with self.subTest():
result_g2p = self.mlphon.grapheme_to_phoneme(row[0])
match = False
self.assertTrue(
len(result_g2p) != 0, "Analysis failed for " + row[0])
print(row[0], "\t-->\t", result_g2p)
for index in range(len(result_g2p)):
if row[1] == str(result_g2p):
match = True
break
self.assertEqual(match, True, "Analysis for " + row[0])
def g2p_generate():
grapheme_generate = {}
text = request.args.get("text")
mlphon = PhoneticAnalyser()
graphemes = mlphon.phoneme_to_grapheme(text)
return jsonify({"text": text, "IPA": graphemes})
def setUp(self):
self.csvfile = open(os.path.join(CURR_DIR, "data_syllable.tsv"))
self.datasyl = csv.reader(self.csvfile, delimiter="\t")
self.mlphon = PhoneticAnalyser()