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Merge branch 'development' into solutions
[cipher-training.git]
/
language_models.py
diff --git
a/language_models.py
b/language_models.py
index ceb4596eb2fd87d3d2375f338892f9652525f2d4..59d858868dd5b67d5de9dd848fe26d6b5f1c6391 100644
(file)
--- a/
language_models.py
+++ b/
language_models.py
@@
-120,14
+120,22
@@
def log_probability_of_unknown_word(key, N):
return -log10(N * 10**((len(key) - 2) * 1.4))
Pw = Pdist(datafile('count_1w.txt'), log_probability_of_unknown_word)
return -log10(N * 10**((len(key) - 2) * 1.4))
Pw = Pdist(datafile('count_1w.txt'), log_probability_of_unknown_word)
+Pw_wrong = Pdist(datafile('count_1w.txt'), lambda _k, N: log10(1/N))
Pl = Pdist(datafile('count_1l.txt'), lambda _k, _N: 0)
P2l = Pdist(datafile('count_2l.txt'), lambda _k, _N: 0)
Pl = Pdist(datafile('count_1l.txt'), lambda _k, _N: 0)
P2l = Pdist(datafile('count_2l.txt'), lambda _k, _N: 0)
+P3l = Pdist(datafile('count_3l.txt'), lambda _k, _N: 0)
def Pwords(words):
"""The Naive Bayes log probability of a sequence of words.
"""
return sum(Pw[w.lower()] for w in words)
def Pwords(words):
"""The Naive Bayes log probability of a sequence of words.
"""
return sum(Pw[w.lower()] for w in words)
+def Pwords_wrong(words):
+ """The Naive Bayes log probability of a sequence of words.
+ """
+ return sum(Pw_wrong[w.lower()] for w in words)
+
+
def Pletters(letters):
"""The Naive Bayes log probability of a sequence of letters.
"""
def Pletters(letters):
"""The Naive Bayes log probability of a sequence of letters.
"""
@@
-139,6
+147,12
@@
def Pbigrams(letters):
"""
return sum(P2l[p] for p in ngrams(letters, 2))
"""
return sum(P2l[p] for p in ngrams(letters, 2))
+def Ptrigrams(letters):
+ """The Naive Bayes log probability of the trigrams formed from a sequence
+ of letters.
+ """
+ return sum(P3l[p] for p in ngrams(letters, 3))
+
def cosine_similarity_score(text):
"""Finds the dissimilarity of a text to English, using the cosine distance
def cosine_similarity_score(text):
"""Finds the dissimilarity of a text to English, using the cosine distance