CAJ | 학술논문

面向天气预报和气象服务的文本内容的计算机自动或者半自动生成方法，对文本生成质量要求较高，即要准确、高效、合理，还需要符合自然语言表达，存在较多技术问题。在深入分析中央气象台每日发布的“天气公报”文本内容的基础上，结合地理信息科学和自然语言处理科学方法提出了面向气象落区文本语言生成的基本原理与流程，重点从历史文本内容分析与特征提取、地理区域划分、气象要素空间分析、文本组织与生成等关键技术问题进行了深入讨论，并给出了相应的技术实现。计算机自动生成结果与预报员人工撰写的文本内容对比分析也较好地证明了面向特地领域的文本生成方法具有较好的应用前景。
면향천기예보화기상복무적문본내용적계산궤자동혹자반자동생성방법，대문본생성질량요구교고，즉요준학、고효、합리，환수요부합자연어언표체，존재교다기술문제。재심입분석중앙기상태매일발포적“천기공보”문본내용적기출상，결합지리신식과학화자연어언처이과학방법제출료면향기상락구문본어언생성적기본원리여류정，중점종역사문본내용분석여특정제취、지리구역화분、기상요소공간분석、문본조직여생성등관건기술문제진행료심입토론，병급출료상응적기술실현。계산궤자동생성결과여예보원인공찬사적문본내용대비분석야교호지증명료면향특지영역적문본생성방법구유교호적응용전경。
The text content needs the high quality characteristic of precision, efficiency, logicalness and as well as natural language expression in order to generate text description automatically for weather forecast and service fields, however currently it lacks more mature technique ways to solve all problems. Based on the analysis of the content of“weather public report”documents, it proposes a framework and its’processing of text generation on weather falling area description by introducing of Geographic Information Science(GIS)and Natural Language Processing(NLP)science. Feather more, it focuses on the four key issues for further discussion, such as information extraction and conceptual model building from massive history documents, geospatial area partitioning, meteorological elements spatial-temporal reasoning, text organization and generation and post-processing. Meanwhile, it proposes the technique implementation in detail for these issues. Com-pared with the content between forecaster manuscript and computer text, the results show the general text generation method has a potential application prospect in given meteorology forecast and services field.