export const i18nVue = { CN: { computer_vision: "计算机视觉", natural_language_processing: "自然语言处理", speech_processing: "语音处理", computer_vision_natural_language_processing: "计算机视觉、自然语言处理", machine_translation: "机器翻译", question_answering_system: "问答系统", information_retrieval: "信息检索", knowledge_graph: "知识图谱", text_annotation: "文本标注", text_categorization: "文本分类", emotion_analysis: "情感分析", language_modeling: "语言建模", speech_recognition: "语音识别", automatic_digest: "自动文摘", information_extraction: "信息抽取", description_generation: "说明生成", image_classification: "图像分类", face_recognition: "人脸识别", image_search: "图像搜索", target_detection: "目标检测", image_description_generation: "图像描述生成", vehicle_license_plate_recognition: "车辆车牌识别", medical_image_analysis: "医学图像分析", unmanned: "无人驾驶", unmanned_security: "无人安防", drone: "无人机", vr_ar: "VR/AR", "2_d_vision": "2-D视觉", "2_5_d_vision": "2.5-D视觉", "3_d_reconstruction": "3D重构", image_processing: "图像处理", video_processing: "视频处理", visual_input_system: "视觉输入系统", speech_coding: "语音编码", speech_enhancement: "语音增强", speech_recognition: "语音识别", speech_synthesis: "语音合成", current_dataset: "当前数据集", linked_datasets: "关联数据集", unfavorite: "取消收藏", favorite: "收藏", disassociate: "取消关联", public_dataset: "公开数据集", selected_data_file: "已选数据集", sure: "确定", search_dataset: "搜数据集名称/描述...", citations: "引用次数", downloads: "下载次数", not_link_dataset: "还未关联过数据集", no_link_dataset_tips1: "您可以通过单击新建关联数据集按钮,将平台上公开数据集展示在这里。", dataset_instructions_for_use: "使用说明:可以参考启智AI协作平台", dataset_camp_course: "小白训练营课程", dataset_link_success: "关联数据集成功!", dataset_link_failed: "关联数据集失败!", dataset_over_nums: "关联超过?个数据集", cancel_link_dataset: "取消?关联数据集成功!", }, US: { computer_vision: "computer vision", natural_language_processing: "natural language processing", speech_processing: "speech processing", computer_vision_natural_language_processing: "computer vision and natural language processing", machine_translation: "machine translation", question_answering_system: "question answering system", information_retrieval: "information retrieval", knowledge_graph: "knowledge graph", text_annotation: "text annotation", text_categorization: "text categorization", emotion_analysis: "emotion analysis", language_modeling: "language modeling", speech_recognition: "speech recognition", automatic_digest: "automatic digest", information_extraction: "information extraction", description_generation: "description generation", image_classification: "image classification", face_recognition: "face recognition", image_search: "image search", target_detection: "target detection", image_description_generation: "image description generation", vehicle_license_plate_recognition: "vehicle license plate recognition", medical_image_analysis: "medical image analysis", unmanned: "unmanned", unmanned_security: "unmanned security", drone: "drone", vr_ar: "VR/AR", "2_d_vision": "2.D vision", "2.5_d_vision": "2.5D vision", "3_d_reconstruction": "3Dreconstruction", image_processing: "image processing", video_processing: "video processing", visual_input_system: "visual input system", speech_coding: "speech coding", speech_enhancement: "speech enhancement", speech_recognition: "speech recognition", speech_synthesis: "speech synthesis", current_dataset: "Current Dataset", linked_datasets: "Linked Datasets", unfavorite: "Unfavorite", favorite: "Favorite", disassociate: "Disassociate", public_dataset: "Public Dataset", selected_data_file: "Selected DataSets", sure: "Ok", search_dataset: "Search dataset name/description ...", citations: "Citations", downloads: "Downloads", not_link_dataset: "No datasets have been associated yet", no_link_dataset_tips1: "You can display public datasets on the platform here by clicking the New Linked Dataset button.", dataset_instructions_for_use: "Instructions for use: You can refer to Qizhi AI Collaboration Platform ", dataset_camp_course: "Newcomer Training Camp Course", dataset_link_success: "Linked dataset succeeded!", dataset_link_failed: "Linked dataset Failed!", dataset_over_nums: "Linked over ? datasets!", cancel_link_dataset: "Cancel ? Linked dataset succeeded!", }, };