Add non complete grams
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parent
e806e44383
commit
81f09b68d1
23
run.py
23
run.py
@ -46,6 +46,8 @@ def load_train():
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def predict(search_for_words):
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def predict(search_for_words):
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trigrams = {}
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trigrams = {}
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bigrams = {}
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bigrams = {}
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trigrams_nc = {}
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bigrams_nc = {}
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index = 0
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index = 0
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expected = open('train/expected.tsv', 'r')
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expected = open('train/expected.tsv', 'r')
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with lzma.open('train/in.tsv.xz', mode='rt') as file:
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with lzma.open('train/in.tsv.xz', mode='rt') as file:
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@ -58,6 +60,9 @@ def predict(search_for_words):
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if search_for_word[0] == words[0+mv] and search_for_word[1] == words[1+mv]:
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if search_for_word[0] == words[0+mv] and search_for_word[1] == words[1+mv]:
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set_bigram_count(words[0+mv], words[1+mv], bigrams)
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set_bigram_count(words[0+mv], words[1+mv], bigrams)
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set_trigram_count(expected_word, words[0+mv], words[1+mv], trigrams)
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set_trigram_count(expected_word, words[0+mv], words[1+mv], trigrams)
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elif search_for_word[0] == words[0+mv]:
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set_bigram_count(words[0+mv], words[1+mv], bigrams_nc)
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set_trigram_count(expected_word, words[0+mv], words[1+mv], trigrams_nc)
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if index == 100000:
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if index == 100000:
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break
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break
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@ -66,6 +71,8 @@ def predict(search_for_words):
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print(len(search_for_words))
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print(len(search_for_words))
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print(len(bigrams))
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print(len(bigrams))
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print(len(trigrams))
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print(len(trigrams))
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print(len(bigrams_nc))
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print(len(trigrams_nc))
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left_context_search_for_word = {}
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left_context_search_for_word = {}
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for bigram in bigrams:
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for bigram in bigrams:
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@ -76,13 +83,27 @@ def predict(search_for_words):
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left_context = trigram.split("_")[0]
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left_context = trigram.split("_")[0]
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left_context_search_for_word[bigram] = left_context
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left_context_search_for_word[bigram] = left_context
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left_context_search_for_word_nc = {}
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for bigram in bigrams_nc:
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max_count = 0
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for trigram in trigrams_nc:
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if bigram == '_'.join(trigram.split("_")[1:3]) and trigrams_nc[trigram] > max_count:
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max_count = trigrams_nc[trigram]
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left_context = trigram.split("_")[0]
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left_context_search_for_word_nc[bigram] = left_context
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for index, search_for_word in enumerate(search_for_words):
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for index, search_for_word in enumerate(search_for_words):
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hash_search_for_word = '_'.join(search_for_word)
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hash_search_for_word = '_'.join(search_for_word)
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if hash_search_for_word in left_context_search_for_word:
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if hash_search_for_word in left_context_search_for_word:
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left_context = left_context_search_for_word[hash_search_for_word]
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left_context = left_context_search_for_word[hash_search_for_word]
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print(f"{index+1}: {left_context} {' '.join(search_for_word)} {trigrams['_'.join([left_context]+search_for_word)]/bigrams[hash_search_for_word]}")
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print(f"{index+1}: {left_context} {' '.join(search_for_word)} {trigrams['_'.join([left_context]+search_for_word)]/bigrams[hash_search_for_word]}")
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else:
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else:
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print(f"{index+1}: ??? {' '.join(search_for_word)}")
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for lfc in left_context_search_for_word_nc:
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if search_for_word[0] == lfc.split("_")[0]:
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left_context = left_context_search_for_word[lfc]
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print(f"{index+1}: {left_context} {' '.join(search_for_word)} {trigrams_nc['_'.join([left_context]+lfc)]/bigrams_nc[lfc]}")
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else:
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print(f"{index+1}: ??? {' '.join(search_for_word)}")
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def load_dev():
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def load_dev():
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search_for_words = []
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search_for_words = []
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