Rassinoux A M, Michel P A, Juge C, Baud R, Scherrer J R
Hospital Informatics Center, Geneva University Hospital, Switzerland.
Comput Methods Programs Biomed. 1994 Dec;45 Suppl:S79-96.
A large number of hospital applications are potentially interested in natural language processing since they currently heavily depend on an efficient use of a huge amount of textual information. The need for systems that are able to accept multiple European languages is of paramount interest, as language barriers can be a strong impediment for large-scale communication in Europe, in particular regarding telemedicine. In the context of the AIM project HELIOS, the Natural Language Processing (NLP) component offers a large variety of medical services according to natural language free input. It allows the multilingual analysis of medical texts (currently in English, French and German) and the storage of the meaning of these texts under a deep knowledge representation that can be queried whenever it is needed. In addition, it provides facilities to handle knowledge source embedded into the conceptual typologies and into the dictionaries. This article aims at describing all these functionalities and their integration into the environment of the HELIOS project.
大量医院应用可能对自然语言处理感兴趣，因为它们目前严重依赖于对大量文本信息的有效利用。对于能够接受多种欧洲语言的系统的需求至关重要，因为语言障碍可能成为欧洲大规模通信的强大障碍，特别是在远程医疗方面。在AIM项目HELIOS的背景下，自然语言处理（NLP）组件根据自然语言自由输入提供各种各样的医疗服务。它允许对医学文本进行多语言分析（目前支持英语、法语和德语），并在深度知识表示下存储这些文本的含义，以便在需要时进行查询。此外，它还提供了处理嵌入概念类型和词典中的知识源的工具。本文旨在描述所有这些功能及其在HELIOS项目环境中的集成。
