lambda self, context, phrase: language_prob[phrase],
'probability': lambda self, phrase: language_prob[phrase]
})()
stack_decoder = StackDecoder(phrase_table, language_model)
input_sentence = "he said that macedonian women were victims involved in prostitution during a recent sweep in bulgaria"
with open("translation.txt", 'a', encoding='utf8') as file:
print("Input sentence: " + input_sentence)
file.write("Input sentence: " + input_sentence + "\n")
input_words = input_sentence.split(' ')
translated_sentence = []
temp_sentence = []
previous_temp = []
iteration_index = 0
for i in range(0, len(input_words)):
temp_sentence.append(input_words[i])
translated_temp = stack_decoder.translate(temp_sentence)
print(translated_temp)
iteration_index += 1
file.write("Iteration " + str(iteration_index) + ": " +
str(' '.join(translated_temp)) + "\n")
if len(translated_temp) == 0:
temp_sentence = []
for word in previous_temp:
translated_sentence.append(word)
translated_sentence.append('_')
translated_temp = []
previous_temp = translated_temp
if len(translated_sentence) == 0:
translated_sentence = translated_temp
print("Translated sentence: " + str(' '.join(translated_sentence)))
