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中英平行语料库

10 组句对命中

来源:INSARAG 指南(2020)中文版与 UN News 中文站 · 全部为原生中英对齐句对,不含机器翻译。

中英两侧已分别向量化,可在「语义检索」中命中,也可在「多语互译」中作为双语上下文注入提示词。

重置
条目 / 出处 原文(English) 译文(中文) 来源与审核
INS-2.4
标题
EN p.9 · ZH p.14
2.4 Values, Operational Norms and Humanitarian Principles 1.4 核心价值、行动准则和人道主义原则
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P1
段落
EN p.9 · ZH p.14
INSARAG operates in accordance with the Humanitarian Principles, which form the core of humanitarian action. INSARAG 开展行动时应遵守人道主义原则,这是人道主义行动的核心。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P2
段落
EN p.9 · ZH p.14
Adherence to common standards and methodology: Members of INSARAG commit to adhere to the INSARAG Guidelines and methodology as globally accepted and independently verifiable minimum operational standards and procedures, based upon expert knowledge and evidence-based experience. The INSARAG network continues to develop these standards and procedures through shared and continued learning. 遵守通用标准和方法:INSARAG 成员承诺遵守 INSARAG 指南和方法,这是全球认可、基于专业知识和长期经验独立认证的最低行动标准和程序。INSARAG 组织通过分享和持续的学习不断改进这些标准和流程。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P3
段落
EN p.9 · ZH p.14
Inclusiveness: INSARAG brings together governments, governmental organisations, NGOs and disaster preparedness and response professionals. INSARAG particularly encourages disaster-prone countries to join the network, as well as any country or organisation with USAR response capacity. INSARAG emphasises the importance for gender awareness and considerations while working in disaster-affected areas. 包容性:INSARAG 将政府、政府组织,非政府组织和灾害准备和响应专业人员聚集在一起,特别鼓励灾害多发国和任何具备 USAR 响应能力的国家或机构加入这一组织,强调在受灾国搜救时具有性别意识和考量的重要性。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P4
段落
EN p.9 · ZH p.14
Professionalism: INSARAG promotes responsible, ethical and professional standards amongst USAR Teams and stakeholders. 专业性:INSARAG 提升 USAR 队伍和利益相关方之间的责任、道德和专业标准。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P5
段落
EN p.9 · ZH p.14
Respect for diversity: INSARAG acknowledges and respects USAR Teams' varied operational procedures in achieving common objectives, while disseminating principles and minimum standards agreed upon by the INSARAG network. 尊重多样性:INSARAG在推广经INSARAG工作网络同意的原则和最低标准时,承认并尊重USAR队伍为达到共同的目标而采用的不同行动程序。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P6
段落
EN p.9 · ZH p.14
Cultural sensitivity: INSARAG promotes awareness and respect by international USAR Teams of cultural differences so that international USAR Teams can cooperate more effectively with national and international actors. 文化敏感性:INSARAG 鼓励国际 USAR 队伍具备文化差异的意识,并尊重文化差异,以便国际 USAR 队伍能更有效地与国内外同行合作。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P7
段落
EN p.9 · ZH p.14
Needs-driven: Mobilisation and deployment of international USAR Teams is only supported when the affected country's capacities are overwhelmed by the impact of a collapsed-structure emergency and national authorities agree to accept international assistance. Moreover, the type of international assistance rendered is based on the needs of the affected country and not driven by the availability of resources. 需求驱动:只有当建筑物倒塌情况的影响超出受灾国处置能力,且该国政府
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P9
段落
EN p.10 · ZH p.15
Coordination: INSARAG promotes internationally agreed coordination structures managed and advocated by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), promotes coordination of preparedness and capacity building activities, and, throughout an operation, assists Member States and affected countries in coordinating the emergency response. 协调性:INSARAG 推动由 OCHA 管理和倡议并受国际认同的协调架构,鼓励在准备阶段和能力建设等具体活动中开展协调合作,并在整个行动过程协助各国协调应急响应。
INSARAG 指南(2020)中文版
en-zh
人工对齐
INS-2.4-P10
段落
EN p.10 · ZH p.15
Predictability: INSARAG promotes predictability in search and rescue response operations, both in terms of response capacities available when they are needed, as well as in terms of coordination platforms put in place to ensure a most efficient use of available assets in relation to the identified humanitarian needs. 可预测性:INSARAG 提高搜索和救援响应行动的可预测性,既包括在需要时的响应能力,也包括有效的协调平台,为满足明确的人道主义需要,最有效地利用现有资源。
INSARAG 指南(2020)中文版
en-zh
人工对齐

向量化与机器翻译的关系

平行语料库完成向量化后与多语互译结合,为机器翻译提供双语上下文;本次扩容全部取自现有原生对齐数据,未使用任何机器翻译结果。