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Research on Natural Language Processing and Aspose Technology in the Automatic Generation of Ocean Weather Public Report

机译：海洋天气公报自动生成自然语言处理及其技术研究

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摘要

Combining with the requirements of the production of the ocean weather public reports, based on the analysis of a large number of historical documents issued daily by National Meteorological Center (NMC), it proposes an automatic generation method of ocean weather public reports by using Natural Language Processing technology and Aspose technology. Furthermore, it focuses on three key issues for further discussion, such as historical text content analysis and feature extraction, text description rules and their natural language processing, report template customization and automatic generation of report document from the template by Aspose technology. Meanwhile, it proposes the implementation in detail for these issues. Compared with the content between forecasters' manuscript and the computer report document, the results show that the automatically generated forecast text is correct in content, semantics and syntax, smooth in sentences, and the text style conforms to the habits of forecasters. The automatically generated report document effectively avoids the common errors of weather elements and time interval selection, illustration sorting and text style in the process of manually editing documents. It can effectively improve the efficiency of forecasters.
机译：根据国家气象中心（NMC）发出的大量历史文件的分析，结合了海洋天气公开报告的要求，提出了通过使用自然语言的海洋天气公开报告的自动生成方法加工技术和Aspose技术。此外，它专注于进一步讨论的三个关键问题，例如历史文本内容分析和功能提取，文本描述规则及其自然语言处理，通过Aspose技术从模板中报告模板自定义和自动生成报告文档。同时，它提出了这些问题的详细实施。与预测器手稿和计算机报告文档之间的内容相比，结果表明，自动生成的预测文本在内容，语义和语法中是正确的，句子中的顺利，文本方式符合预报员的习惯。自动生成的报告文档有效地避免了在手动编辑文档的过程中的天气元素和时间间隔选择，插图排序和文本样式的常见错误。它可以有效提高预测员的效率。

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