原文地址:利用腾讯云API(Python)对字幕文件进行翻译
引言
本篇文章使用腾讯云的机器翻译来对英语字幕文件进行翻译,接口的需要的SecretId和SecretKey请自行上腾讯云https://console.cloud.tencent.com/cam/capi获取,运行环境为Python3.8,如使用Python2,请注意注释内容,并进行相对于的修改,程序还需要用到腾讯云的Python SDK:
pip install tencentcloud-sdk-python
翻译前示例文件
WEBVTT X-TIMESTAMP-MAP=LOCAL:00:00:00.000,MPEGTS:161632
1
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<v Don>Greetings ladies and gentlemen, this is Don Murdoch</v>2
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and I'm going to be doing a talk this afternoon here3
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at the RSA conference on adversary simulation.4
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We're going to go through this process5
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and what we want to be able to do6
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throughout this presentation has help you close the gaps7
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in your security posture.8
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So, by way of introduction, I've been in IT9
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for well over 25 years, about 17 years
10
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in information security.
......
翻译后示例文件
WEBVTT
X-TIMESTAMP-MAP=LOCAL:00:00:00.000,MPEGTS:1616321
00:00:01.070 --> 00:00:02.970
<v Don>女士们先生们,大家好,我是Don Murdoch</v>2
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今天下午我要在这里做一个演讲3
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在RSA关于对手模拟的会议上。4
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我们要经历这个过程5
00:00:10.170 --> 00:00:11.645
我们想要做的是6
00:00:11.645 --> 00:00:13.100
整个演示文稿帮助您缩小差距7
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以你的安全姿态。8
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所以,顺便介绍一下,我在IT行业9
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已经超过25年了,大约17年
10
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在信息安全方面。
代码
# coding:utf-8
'''
@author: Duckweeds7 20210527
@todo: 腾讯云API翻译字幕文件
'''
import json
from time import sleep
from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.tmt.v20180321 import tmt_client, modelsclass TencentTranslate():
''' 翻译接口,输入为待翻译句子的列表 ''' def translate(self, t): try: cred = credential.Credential("your SecretId", "your SecretKey") httpProfile = HttpProfile() httpProfile.endpoint = "tmt.tencentcloudapi.com" clientProfile = ClientProfile() clientProfile.httpProfile = httpProfile client = tmt_client.TmtClient(cred, "ap-guangzhou", clientProfile) req = models.TextTranslateBatchRequest() params = { "Source": "auto", "Target": "zh", "ProjectId": 0, "SourceTextList": t } req.from_json_string(json.dumps(params)) resp = client.TextTranslateBatch(req) return json.loads(resp.to_json_string()) except TencentCloudSDKException as err: print(err) ''' 程序主入口 ''' def main(self, path): content = open(path, 'r', encoding='utf-8').readlines() # 将待翻译字幕文件按行读取成列表 # python2 content = open(path, 'r').readlines() head, context = content[:5], content[5:] # 切割头部不需要翻译的内容和正文 根据自己需求修改头部行数 new_context = context[:] # 复制一份准备用来替换翻译内容的正文部分 wait_for_translate = [] # 声明一个放置待翻译文本的列表 for c in range(0, len(context), 4): # 将每行的内容加入待翻译列表中,并去掉换行符,4是间隔 wait_for_translate.append(context[c].replace('\n', '')) wail_list = [] wail_tmp = [] for l in range(len(wait_for_translate)): # 这一块是将总的文本切分成多个40行的文本,这是因为腾讯云的批量文本翻译接口有限制,不能超出2000个字符,这一块也是根据你的字幕文件来决定的,句子如果较长的话,就把这个数调低点,句子较短,就把这个数调高。 wail_tmp.append(wait_for_translate[l]) if len(wail_tmp) == 40 or l == len(wait_for_translate) - 1: wail_list.append(wail_tmp) wail_tmp = [] translater = [] for w in range(len(wail_list)): # 批量进行翻译 translater.extend(self.translate(wail_list[w])['TargetTextList']) sleep(0.21) # 休眠是因为腾讯云接口调用时间限制 count = 0 for c in range(0, len(context), 4): new_context[c] = translater[count] + '\n' # 替换翻译内容并补上换行符 count += 1 if count == len(translater): break name = path.replace('en', 'zh') # with open(name, 'w', encoding='utf-8') as f: f.writelines(head + new_context) return name
if name == 'main':
TencentTranslate().main('xxx_en.vtt')
# test()