* Add read_freqs function in init_model

bin/init_model.py

@@ -17,6 +17,8 @@ Requires:
 """
 from __future__ import unicode_literals
 
+from ast import literal_eval
+
 import plac
 from pathlib import Path
 
@@ -29,6 +31,8 @@ from spacy.en import get_lex_props
 from spacy.en.lemmatizer import Lemmatizer
 from spacy.vocab import Vocab
 from spacy.vocab import write_binary_vectors
+from spacy.strings import hash_string
+from preshed.counter import PreshCounter
 
 from spacy.parts_of_speech import NOUN, VERB, ADJ
 
@@ -84,6 +88,28 @@ def _read_probs(loc):
     return probs
 
 
+def _read_freqs(loc):
+    counts = PreshCounter()
+    total = 0
+    for line in open(loc):
+        freq, doc_freq, key = line.split('\t', 2)
+        freq = int(freq)
+        counts[hash_string(key)] = freq
+        total += freq
+    counts.smooth()
+    log_total = math.log(total)
+    probs = {}
+    for line in open(loc):
+        freq, doc_freq, key = line.split('\t', 2)
+        if int(doc_freq) >= 2 and int(freq) >= 5 and len(key) < 200:
+            word = literal_eval(key)
+            smooth_count = counts.smoother(int(freq))
+            log_smooth_count = math.log(smooth_count)
+            probs[word] = math.log(smooth_count) - log_total
+    probs['-OOV-'] = math.log(counts.smoother(0)) - log_total
+    return probs
+
+
 def _read_senses(loc):
     lexicon = defaultdict(lambda: defaultdict(list))
     if not loc.exists():
@@ -115,6 +141,8 @@ def setup_vocab(src_dir, dst_dir):
     vocab = Vocab(data_dir=None, get_lex_props=get_lex_props)
     clusters = _read_clusters(src_dir / 'clusters.txt')
     probs = _read_probs(src_dir / 'words.sgt.prob')
+    if not probs:
+        probs = _read_freqs(src_dir / 'freqs.txt')
     if not probs:
         min_prob = 0.0
     else: