A Research on a English・Japanese Conversational Text-Base and Its Retrieval System Keyed by the Semantic Information

（1）收集英日对话文本和语义结构描述数据在本项目中，我们从NHK广播英语对话文本中收集了英语和日语对话句子文本。句子片段的总数多达20万个，包括简短的话语，如“是的”，“嗨”和“哦，亲爱的”。“至于语义结构描述数据（SD格式数据），总数约为8000句。我们把所有的数据汇编成一个MS-DOS文件。（2）会话文本和SD格式数据库管理系统的开发我们开发了一个SD格式语义模型环境（SDENV）程序，它是一个Prolog程序。在此基础上，我们还开发了一个会话文本管理系统和一个SD表单管理系统。系统功能包括A.新概念标签附加，B。动态知识安装、C.主题管理等。（3）会话文本库的应用在本项目中，我们还开发了一个“英/日会话文本语义检索”原型系统。系统中有很多技巧，可以让系统运行的更快。一个典型的技术是保留以前的值的功能评估的结果，也就是说，我们存储的成功/不成功的结果的子函数到数据库中的Prolog程序。这项技术使系统运行速度提高了10倍。文本检索分为四种模式，每种模式都有不同的检索键。是的，A。SD型，B。陈述SD形式中的功能项，C。概念标签和D.日语/英语文本的示例。在每种模式下，系统都根据SD形式语义模型中的概念细化关系计算语义差异度。

(1)Collection of English-Japanese Conversation Texts and the Semantic-structure Description DataThroughout this project, we have collected English and Japanese conversational sentence texts from NHK RADIO ENGLISH CONVERSATION TEXT. The total number of sentence piece is as much as 200, 000 including short utterances like, "Yes", "Hi", and "Oh, dear. "As for the semantic structure description data(SD-form data), the total number is about 8, 000 sentences. We assembled all the data in a MS-DOS file.(2)Development of database management system for conversational texts and SD-form dataWe developed a program for SD-form semantics model environment(SDENV)as a Prolog program. Based on this core system, we also developed a Conversational text management system and a SD-form management system. The system function includes such function as A. New concept label appending, B. Dynamic knowledge installing, C. Topic managing, etc.(3)Application of the conversational textbaseIn the project, we also developed a prototype system of a "Semantic retrieval of the English/Japanese conversational texts". The system was equipped with many techniques to make the system operation faster. A typical technique is to retain the results of the previous values of functional evaluation, that is, we store the sucessful/unsuccessful results of the subfunctions into the database of the Prolog program. This technique enabled a 10 times faster system operation. Text retrievals are categorized into four modes, all of those have different retrieve keys. They are, A. An SD-form, B. Functional item in a statement SD-form, C. Concept label, and D. An example of Japanese/English text. In every mode, the system computes the semantic difference measure which is based on the concept elaboration relations in the SD-form semantics model.