化学和冶金领域相关专利-中英同族专利短文本平行语料数据集

本数据集基于中国专利分类号C（化学和冶金）相关专利文本，构建了面向中英同族专利的短文本平行语料，以精准刻画专利领域的跨语言对应关系，实现中文与英文的双向即时检索与语义对齐。依托覆盖178个国家/地区、2亿余条专利及10亿+科技情报的全球资源，该数据集在以下领域具有显著应用价值： 1.科技研发与情报获取： 支持以中文或英文进行跨语种检索，利用同族专利的术语特征实现术语对齐与归一化，提高检索的召回率与精确度，减少人工翻译与校对成本。可用于双语检索模型、领域机器翻译及语义嵌入训练，实现高质量语义匹配与排序。 2.知识产权保护与风险预警： 基于句级平行语料可快速识别中英文等价技术点，用于侵权线索发现与早期预警。术语级与句级对齐提升权利要求比对、专利聚类与相似度评估的准确性，助力自动化生成侵权分析与风险报告。借词与音译敏感性建模可避免漏检。 企业战略决策与市场分析： 为企业提供中英双视角的竞争情报与市场趋势分析，支持专利组合比较、技术路线追踪与区域化策略制定。利用平行语料构建可比证据链，支撑基于证据的战略决策，并支持双语自动报告生成，便于多语种团队共享情报成果。This dataset constructs a short-text parallel corpus for Chinese-English patent family pairs based on patent texts related to Chinese Patent Classification C (Chemistry and Metallurgy), aiming to accurately characterize cross-linguistic correspondence relations in the patent field and enable bidirectional real-time retrieval and semantic alignment between Chinese and English. Built on global resources covering 178 countries/regions, over 200 million patent documents and more than 1 billion scientific and technological intelligence entries, this dataset has significant application value in the following fields: 1. Scientific Research and Intelligence Acquisition: It supports cross-lingual retrieval in either Chinese or English, leverages term features of patent families to achieve term alignment and normalization, improves the recall and precision of retrieval, and reduces manual translation and proofreading costs. It can be applied to bilingual retrieval models, domain-specific machine translation and semantic embedding training, to realize high-quality semantic matching and ranking. 2. Intellectual Property Protection and Risk Early Warning: Based on sentence-level parallel corpora, it can quickly identify equivalent technical points in Chinese and English, which is used for infringement clue discovery and early warning. Term-level and sentence-level alignment improves the accuracy of claim comparison, patent clustering and similarity assessment, and facilitates the automated generation of infringement analysis and risk reports. Modeling for loanword and transliteration sensitivity can avoid missed detections. 3. Enterprise Strategic Decision-Making and Market Analysis: It provides enterprises with dual Chinese-English perspectives of competitive intelligence and market trend analysis, supports patent portfolio comparison, technology roadmap tracking and regional strategy formulation. It uses parallel corpora to build comparable evidence chains, supports evidence-based strategic decision-making, and enables bilingual automated report generation to facilitate multilingual teams to share intelligence outcomes.

搜集汇总

背景与挑战

背景概述

该数据集专注于化学和冶金领域的专利文本，提供了中英文同族专利的短文本平行语料。它旨在支持跨语言信息处理任务，如机器翻译或文本对齐，适用于相关技术领域的语言研究和应用开发。