Generation

generate functionFri, 07 Jul 2023

基于机器翻译、语音识别和语音合成技术,构建机器翻译系统

def preprocess(text): text = text.lower() text = text.replace(',', '').replace('.', '') words = text.split(' ') word_to_id = {} id_to_word = {} for word in words: if word not in word_to_id: new_id = len(word_to_id) word_to_id[word] = new_id id_to_word[new_id] = word corpus = np.array([word_to_id[w] for w in words]) return corpus, word_to_id, id_to_word def create_co_matrix(corpus, vocab_size, window_size=1): corpus_size = len(corpus) co_matrix = np.zeros((vocab_size, vocab_size), dtype=np.int32) for idx, word_id in enumerate(corpus): for i in

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