created converter for speechmatics timing

helpers.py

@@ -6,6 +6,8 @@ st = StanfordNERTagger('/usr/local/bin/english.all.3class.distsim.crf.ser.gz',
 
 PROPER_NOUN_TAGS = ['ORGANIZATION', 'PERSON', 'LOCATION']
 
+PUNCTUATION = ['.', '?', ',', ':', '"', '!']
+
 
 def tag_words(words):
     return st.tag(words)
@@ -15,3 +17,21 @@ def is_a_proper_noun(phrase):
     tagged_words = tag_words(phrase.split())
     return any(tagged_word[1] in PROPER_NOUN_TAGS
                for tagged_word in tagged_words)
+
+
+def get_punc_before(word):
+    punc = []
+    for char in word:
+        if char.isalpha():
+            return punc
+        if char in PUNCTUATION:
+            punc.append(char)
+
+
+def get_punc_after(word):
+    punc = []
+    for char in reversed(word):
+        if char.isalpha():
+            return punc
+        if char in PUNCTUATION:
+            punc.insert(0, char)