FMM和BMM的python代码实现，fmmbmmpython,FMM和BMM的py

FMM和BMM的python代码实现，fmmbmmpython,FMM和BMM的py

FMM和BMM的python代码实现

FMM和BMM的编程实现，其实两个算法思路都挺简单，一个是从前取最大词长度的小分句，查找字典是否有该词，若无则分句去掉最后面一个字，再次查找，直至分句变成单词或者在字典中找到，并将其去除，然后重复上述步骤。BMM则是从后取分句，字典中不存在则分句最前去掉一个字，也是重复类似的步骤。

readCorpus.py

import sysoutput = {}with open('语料库.txt', mode='r', encoding='UTF-8') as f:    for line in f.readlines():        if line is not None:            # 去除每行的换行符            t_line = line.strip('\n')            # 按空格分开每个词            words = t_line.split(' ')            for word in words:                # 按/分开标记和词                t_word = word.split('/')                # 左方括号去除                tf_word = t_word[0].split('[')                if len(tf_word) == 2:                    f_word = tf_word[1]                else:                    f_word = t_word[0]                # 若在输出字典中，则value+1                if f_word in output.keys():                    output[f_word] = output[f_word]+1                # 不在输出字典中则新建                else:                    output[f_word] = 1            big_word1 = t_line.split('[')            for i in range(1, len(big_word1)):                big_word2 = big_word1[i].split(']')[0]                words = big_word2.split(' ')                big_word = ""                for word in words:                    # 按/分开标记和词                    t_word = word.split('/')                    big_word = big_word + t_word[0]                # 若在输出字典中，则value+1                if big_word in output.keys():                    output[big_word] = output[big_word]+1                # 不在输出字典中则新建                else:                    output[big_word] = 1f.close()with open('output.txt', mode='w', encoding='UTF-8') as f:    while output:        minNum = sys.maxsize        minName = ""        for key, values in output.items():            if values < minNum:                minNum = values                minName = key        f.write(minName+": "+str(minNum)+"\n")        del output[minName]f.close()

BMM.py

MAX_WORD = 19word_list = []ans_word = []with open('output.txt', mode='r', encoding='UTF-8')as f:    for line in f.readlines():        if line is not None:            word = line.split(':')            word_list.append(word[0])f.close()#num = input("输入句子个数：")#for i in range(int(num)):while True:    ans_word = []    try:        origin_sentence = input("输入：\n")        while len(origin_sentence) != 0:            len_word = MAX_WORD            while len_word > 0:                # 从后读取最大词长度的数据，若该数据在字典中，则存入数组，并将其去除                if origin_sentence[-len_word:] in word_list:                    ans_word.append(origin_sentence[-len_word:])                    len_sentence = len(origin_sentence)                    origin_sentence = origin_sentence[0:len_sentence-len_word]                    break                # 不在词典中，则从后取词长度-1                else:                    len_word = len_word - 1            # 单词直接存入数组            if len_word == 0:                if origin_sentence[-1:] != ' ':                    ans_word.append(origin_sentence[-1:])                len_sentence = len(origin_sentence)                origin_sentence = origin_sentence[0:len_sentence - 1]        for j in range(len(ans_word)-1, -1, -1):            print(ans_word[j] + '/', end='')        print('\n')    except (KeyboardInterrupt, EOFError):        break

FMM.py

MAX_WORD = 19word_list = []with open('output.txt', mode='r', encoding='UTF-8')as f:    for line in f.readlines():        if line is not None:            word = line.split(':')            word_list.append(word[0])f.close()#num = input("输入句子个数：")#for i in range(int(num)):while True:    try:        origin_sentence = input("输入：\n")        while len(origin_sentence) != 0:            len_word = MAX_WORD            while len_word > 0:                # 读取前最大词长度数据，在数组中则输出，并将其去除                if origin_sentence[0:len_word] in word_list:                    print(origin_sentence[0:len_word]+'/', end='')                    origin_sentence = origin_sentence[len_word:]                    break                # 不在字典中，则读取长度-1                else:                    len_word = len_word - 1            # 为0则表示为单词，输出            if len_word == 0:                if origin_sentence[0] != ' ':                    print(origin_sentence[0]+'/', end='')                origin_sentence = origin_sentence[1:]        print('\n')    except (KeyboardInterrupt, EOFError):        break

效果图

我们可以观察到含大粒度分词的情况将香港科技大学，北京航空航天大学等表意能力强的词分在了一起而不是拆开，更符合分词要求。

FMM和BMM的python代码实现