Tenders or technical terms contain a large quantity of both technical, legal, managerial information mixed in a nested and complex net of relationships. Extracting technical and design information from a document whose aim is both legal and technical, and that is written using several specific jargons, is not a trivial task: the purpose of the research is to try to detect, extract, split and assign information from the text of a tender in an automatic way. It means being able to understand technical and legal terms and organize them in multiple ways: according to product structure, internal organisational structure, etc. The focus is in providing a handy tool that could speed up and facilitate human analysis and allow tackling also the process of transforming customer’s requirements into design specifications. The approach chosen to overcome the various issues is to support state-of-the-art Computational Linguistic tools with a wide Knowledge Base. The latter has been constructed both manually and automatically and comprises not only keywords but also concepts, relationships and regular expressions. The implementation of the methodology has been carried out during a project for AnsaldoBreda S.p.A. (now Hitachi Rail Europe). A case study about the tender for a high-speed train has been included to show the functioning and output of the entire software system.

投标或技术术语包含大量的技术，法律，管理信息，这些信息混合在嵌套的复杂关系网络中。从目标是合法的和技术的文档中提取技术和设计信息，该文档是用几种特定的行话写成的，这并不是一件容易的事：研究的目的是试图从文档中检测，提取，拆分和分配信息。招标文本自动生成。这意味着能够理解技术和法律术语并以多种方式组织它们：根据产品结构，内部组织结构等。重点是提供一种方便的工具，该工具可以加快并促进人工分析，并允许处理流程将客户需求转换为设计规范的过程。选择解决各种问题的方法是使用广泛的知识库来支持最新的计算语言工具。后者是手动和自动构建的，不仅包含关键字，还包含概念，关系和正则表达式。该方法的实施已在AnsaldoBreda SpA（现为日立铁路欧洲）的项目中进行。包含了有关高速火车招标的案例研究，以显示整个软件系统的功能和输出。该方法的实施已在AnsaldoBreda SpA（现为日立铁路欧洲）的项目中进行。包含了有关高速火车招标的案例研究，以显示整个软件系统的功能和输出。该方法的实施已在AnsaldoBreda SpA（现为日立铁路欧洲）的项目中进行。包含了有关高速火车招标的案例研究，以显示整个软件系统的功能和输出。