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update translation matrix
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binary-husky committed Aug 12, 2024
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233 changes: 231 additions & 2 deletions docs/translate_english.json
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"gradio的inbrowser触发不太稳定": "In-browser triggering of gradio is not very stable",
"回滚代码到原始的浏览器打开函数": "Roll back code to the original browser open function",
"打开浏览器": "Open browser",
"ChatGPT 学术优化": "ChatGPT academic optimization",
"ChatGPT 学术优化": "GPT Academic",
"代码开源和更新": "Code open source and updates",
"地址🚀": "Address 🚀",
"感谢热情的": "Thanks to the enthusiastic",
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"为了更灵活地接入vllm多模型管理界面": "To more flexibly access the vllm multi-model management interface",
"读取解析": "Read and parse",
"允许缓存": "Allow caching",
"Run2 中对 Kaon 鉴别的要求被收紧为 $ \\operatorname{ProbNNk}\\left": "The requirement for Kaon discrimination in Run2 has been tightened to $ \\operatorname{ProbNNk}\\left"
"Run2 中对 Kaon 鉴别的要求被收紧为 $ \\operatorname{ProbNNk}\\left": "The requirement for Kaon discrimination in Run2 has been tightened to $ \\operatorname{ProbNNk}\\left",
"当前使用人数太多": "Current user count is too high",
"提取historyBox信息": "Extract historyBox information",
"📚Arxiv论文精细翻译": "Fine translation of 📚Arxiv papers",
"检索中": "Searching",
"受到限制": "Restricted",
"3. 历史输入包含图像": "3. Historical input contains images",
"待通过互联网检索的问题": "Questions to be retrieved via the internet",
"使用 findall 方法查找所有匹配的 Base64 字符串": "Use findall method to find all matching Base64 strings",
"建立文件树": "Build file tree",
"经过clip": "Through clip",
"增强": "Enhance",
"对话存档": "Conversation archive",
"网页": "Webpage",
"怎么下载相关论文": "How to download related papers",
"当前对话是关于 Nginx 的介绍和使用等": "The current conversation is about the introduction and use of Nginx, etc.",
"从而提高学术论文检索的精度": "To improve the accuracy of academic paper retrieval",
"使用自然语言实现您的想法": "Implement your ideas using natural language",
"这样可以保证后续问答能读取到有效的历史记录": "This ensures that subsequent questions and answers can read valid historical records",
"生成对比html": "Generate comparison html",
"Doc2x API 页数受限": "Doc2x API page count limited",
"inputs 本次请求": "Inputs for this request",
"有其原问题": "Has its original question",
"在线搜索失败": "Online search failed",
"选择搜索引擎": "Choose a search engine",
"同步已知模型的其他信息": "Synchronize other information of known models",
"在线搜索服务": "Online search service",
"常规对话": "Regular conversation",
"使用正则表达式匹配模式": "Use regular expressions to match patterns",
"从而提高网页检索的精度": "To improve the accuracy of webpage retrieval",
"GPT-Academic输出文档": "GPT-Academic output document",
"/* 小按钮 */": "/* Small button */",
"历史记录": "History record",
"上传一系列python源文件": "Upload a series of python source files",
"仅DALLE3生效": "Only DALLE3 takes effect",
"判断给定的单个字符是否是全角字符": "Determine if the given single character is a full-width character",
"依次放入每组第一": "Put each group's first one by one",
"这部分代码会逐渐移动到common.js中": "This part of the code will gradually move to common.js",
"列出机器学习的三种应用": "List three applications of machine learning",
"更新主输入区的参数": "Update the parameters of the main input area",
"从以上搜索结果中抽取与问题": "Extract from the above search results related to the question",
"* 如果解码失败": "* If decoding fails",
"如果是已知模型": "If it is a known model",
"一": "One",
"模型切换时的回调": "Callback when switching models",
"加入历史": "Add to history",
"压缩结果": "Compress the result",
"使用 DALLE2/DALLE3 生成图片 | 输入参数字符串": "Use DALLE2/DALLE3 to generate images | Input parameter string",
"搜索分类": "Search category",
"获得空的回复": "Get an empty reply",
"多模态模型": "Multimodal model",
"移除注释": "Remove comments",
"对话背景": "Conversation background",
"获取需要执行的插件名称": "Get the name of the plugin to be executed",
"是否启动语音输入功能": "Whether to enable voice input function",
"更新高级参数输入区的参数": "Update the parameters of the advanced parameter input area",
"启用多模态能力": "Enable multimodal capabilities",
"请根据以上搜索结果回答问题": "Please answer the question based on the above search results",
"生成的问题要求指向对象清晰明确": "The generated question requires clear and specific references to the object",
"Arxiv论文翻译": "Translation of Arxiv paper",
"找不到该模型": "Model not found",
"提取匹配的数字部分并转换为整数": "Extract matching numeric parts and convert to integers",
"尝试进行搜索优化": "Try to optimize the search",
"重新梳理输入参数": "Reorganize input parameters",
"存储翻译好的arxiv论文的路径": "Path to store translated arxiv papers",
"尽量使用英文": "Use English as much as possible",
"插件二级菜单的实现": "Implementation of plugin submenus",
"* 增强优化": "Enhanced optimization",
"但属于其他用户": "But belongs to another user",
"不得有多余字符": "No extra characters allowed",
"怎么解决": "How to solve",
"根据综合回答问题": "Answer questions comprehensively",
"降低温度再试一次": "Lower the temperature and try again",
"作为一个网页搜索助手": "As a web search assistant",
"支持将文件直接粘贴到输入区": "Support pasting files directly into the input area",
"打开新对话": "Open a new conversation",
"但位置非法": "But the position is illegal",
"会自动读取输入框内容": "Will automatically read the input box content",
"移除模块的文档字符串": "Remove the module's docstrings",
"from crazy_functions.联网的ChatGPT_bing版 import 连接bing搜索回答问题": "from crazy_functions.online.ChatGPT_bing import connect_bing_search_to_answer_questions",
"关闭": "Close",
"学术论文": "Academic paper",
"多模态能力": "Multimodal capabilities",
"无渲染": "No rendering",
"弃用功能": "Deprecated feature",
"输入Searxng的地址": "Enter the address of Searxng",
"风格": "Style",
"介绍下第2点": "Introduce the second point",
"你的任务是结合历史记录": "Your task is to combine historical records",
"前端": "Frontend",
"采取措施丢弃一部分文本": "Take measures to discard some text",
"2. 输入包含图像": "2. Input contains images",
"输入问题": "Input question",
"可能原因": "Possible reasons",
"2. Java 是一种面向对象的编程语言": "Java is an object-oriented programming language",
"不支持的检索类型": "Unsupported retrieval type",
"第四步": "Step four",
"2. 机器学习在自然语言处理中的应用": "Applications of machine learning in natural language processing",
"浮动菜单定义": "Definition of floating menu",
"鿿": "Undefined",
"history 历史上下文": "History context",
"1. Java 是一种编译型语言": "Java is a compiled language",
"请根据给定的若干条搜索结果回答问题": "Answer the question based on the given search results",
"当输入文本 + 历史文本超出最大限制时": "When the input text + historical text exceeds the maximum limit",
"限DALLE3": "Limited to DALLE3",
"原问题": "Original question",
"日志文件": "Log file",
"输入图片描述": "Input image description",
"示例使用": "Example usage",
"后续参数": "Subsequent parameters",
"请用一句话对下面的程序文件做一个整体概述": "Please give a brief overview of the program file below in one sentence",
"当前对话是关于深度学习的介绍和应用等": "The current conversation is about the introduction and applications of deep learning",
"点击这里输入「关键词」搜索插件": "Click here to enter 'keywords' search plugin",
"按用户划分": "Divided by user",
"将结果写回源文件": "Write the results back to the source file",
"使用前切换到GPT系列模型": "Switch to GPT series model before using",
"正在读取下一段代码片段": "Reading the next code snippet",
"第二个搜索结果": "Second search result",
"作为一个学术论文搜索助手": "As an academic paper search assistant",
"搜索": "Search",
"无法从searxng获取信息！请尝试更换搜索引擎": "Unable to retrieve information from searxng! Please try changing the search engine",
"* 清洗搜索结果": "Cleaning search results",
"或者压缩包": "Or compressed file",
"模型": "Model",
"切换布局": "Switch layout",
"生成当前浏览器窗口的uuid": "Generate the uuid of the current browser window",
"左上角工具栏定义": "Definition of the top-left toolbar",
"from crazy_functions.联网的ChatGPT import ConnectToNetworkToAnswerQuestions": "from crazy_functions.ConnectToNetworkToAnswerQuestions import ChatGPT",
"对最相关的三个搜索结果进行总结": "Summarize the top three most relevant search results",
"刷新失效": "Refresh invalid",
"将处理后的 AST 转换回源代码": "Convert the processed AST back to source code",
"/* 插件下拉菜单 */": "/* Plugin dropdown menu */",
"移除类的文档字符串": "Remove the documentation strings of a class",
"请尽量不要修改": "Please try not to modify",
"并更换新的 API 秘钥": "And replace with a new API key",
"输入文件的路径": "Input file path",
"发现异常嵌套公式": "Identify nested formula exceptions",
"修复不标准的dollar公式符号的问题": "Fix the issue of non-standard dollar formula symbols",
"Searxng互联网检索服务": "Searxng Internet search service",
"联网检索中": "In network retrieval",
"并与“原问题语言相同”": "And in the same language as the original question",
"存在": "Exists",
"列出Java的三种特点": "List three characteristics of Java",
"3. Java 是一种跨平台的编程语言": "3. Java is a cross-platform programming language",
"所有源文件均已处理完毕": "All source files have been processed",
"限DALLE2": "Limited to DALLE2",
"紫东太初大模型 https": "Zidong Taichu Large Model https",
"🎨图片生成": "🎨 Image generation",
"1. 模型本身是多模态模型": "1. The model itself is multimodal",
"相关的信息": "Related information",
"* 或者使用搜索优化器": "* Or use a search optimizer",
"搜索查询": "Search query",
"当前对话是关于 Nginx 的介绍和在Ubuntu上的使用等": "The current conversation is about the introduction of Nginx and its use on Ubuntu, etc.",
"必须以json形式给出": "Must be provided in JSON format",
"开启": "Turn on",
"1. 机器学习在图像识别中的应用": "1. The application of machine learning in image recognition",
"处理代码片段": "Processing code snippet",
"则尝试获取其信息": "Then try to get its information",
"已完成的文件": "Completed file",
"注意这可能会消耗较多token": "Note that this may consume more tokens",
"多模型对话": "Multi-model conversation",
"现在有历史记录": "Now there is a history record",
"你知道 Python 么": "Do you know Python?",
"Base64编码": "Base64 encoding",
"Gradio的inbrowser触发不太稳定": "Gradio's in-browser trigger is not very stable",
"CJK标点符号": "CJK punctuation marks",
"请联系 Doc2x 方面": "Please contact Doc2x for details",
"耗尽generator避免报错": "Exhaust the generator to avoid errors",
"📚本地Latex论文精细翻译": "📚 Local Latex paper finely translated",
"* 尝试解码优化后的搜索结果": "* Try to decode the optimized search results",
"为这些代码添加docstring | 输入参数为路径": "Add docstring for these codes | Input parameter is path",
"读取插件参数": "Read plugin parameters",
"如果剩余的行数非常少": "If the remaining lines are very few",
"输出格式为JSON": "Output format is JSON",
"提取QaBox信息": "Extract QaBox information",
"不使用多模态能力": "Not using multimodal capabilities",
"解析源代码为 AST": "Parse source code into AST",
"使用前请切换模型到GPT系列": "Switch the model to GPT series before using",
"中文字符": "Chinese characters",
"用户的上传目录": "User's upload directory",
"请将文件上传后再执行该任务": "Please upload the file before executing this task",
"移除函数的文档字符串": "Remove the function's docstring",
"新版-更流畅": "New version - smoother",
"检索词": "Search term",
"获取插件参数": "Get plugin parameters",
"获取插件执行函数": "Get plugin execution function",
"为“原问题”生成个不同版本的“检索词”": "Generate different versions of 'search terms' for the 'original question'",
"并清洗重复的搜索结果": "Clean and remove duplicate search results",
"直接返回原始问题": "Directly return the original question",
"从不同角度": "From different perspectives",
"展示已经完成的部分": "Display completed parts",
"搜索优化": "Search optimization",
"解决缩进问题": "Resolve indentation issues",
"直接给出最多{num}个检索词": "Directly provide up to {num} search terms",
"对话数据": "Conversation data",
"定义一个正则表达式来匹配 Base64 字符串": "Define a regular expression to match Base64 strings",
"转化为kwargs字典": "Convert to kwargs dictionary",
"原始数据": "Original data",
"当以下条件满足时": "When the following conditions are met",
"主题修改": "Topic modification",
"Searxng服务地址": "Searxng service address",
"3. 机器学习在推荐系统中的应用": "3. Application of machine learning in recommendation systems",
"全角符号": "Full-width symbols",
"发送到大模型进行分析": "Send for analysis to a large model",
"一个常用的测试目录": "A commonly used test directory",
"在线搜索失败！": "Online search failed!",
"搜索语言": "Search language",
"万事俱备": "All is ready",
"指定了后续参数的名称": "Specified the names of subsequent parameters",
"是否使用搜索增强": "Whether to use search enhancement",
"你知道 GAN 么": "Do you know about GAN?",
"├── 互联网检索": "├── Internet retrieval",
"公式之中出现了异常": "An anomaly occurred in the formula",
"当前对话是关于深度学习的介绍和在图像识别中的应用等": "The current conversation is about the introduction of deep learning and its applications in image recognition, etc.",
"返回反转后的 Base64 字符串列表": "Return a list of Base64 strings reversed",
"一鼓作气处理掉": "Deal with it in one go",
"剩余源文件数量": "Remaining source file count",
"查互联网后回答": "Answer after checking the internet",
"需要生成图像的文本描述": "Text description for generating images",
"* 如果再次失败": "If failed again",
"质量": "Quality",
"请配置 TAICHU_API_KEY": "Please configure TAICHU_API_KEY",
"most_recent_uploaded 是一个放置最新上传图像的路径": "most_recent_uploaded is a path to place the latest uploaded images",
"真正的参数": "Actual parameters",
"生成带注释文件": "Generate files with annotations",
"源自": "From",
"怎么下载": "How to download",
"请稍后": "Please wait",
"会尝试结合历史记录进行搜索优化": "Will try to optimize the search by combining historical records",
"max_token_limit 最大token限制": "max_token_limit maximum token limit"
}
4 changes: 3 additions & 1 deletion docs/translate_std.json
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"解析PDF_DOC2X_转Latex": "ParsePDF_DOC2X_toLatex",
"解析PDF_基于DOC2X": "ParsePDF_basedDOC2X",
"解析PDF_简单拆解": "ParsePDF_simpleDecomposition",
"解析PDF_DOC2X_单文件": "ParsePDF_DOC2X_singleFile"
"解析PDF_DOC2X_单文件": "ParsePDF_DOC2X_singleFile",
"注释Python项目": "CommentPythonProject",
"注释源代码": "CommentSourceCode"
}

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