Essential summarizer:创新的自动文本摘要软件,支持20种语言

Abderrafih Lehmam
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引用次数: 10

摘要

随着数据处理的飞速发展,电子文本文档的出现,迫切需要从文本中提取有用和可重复使用的信息。因此,解决数字文本信息过剩的问题是很自然的。自动文本摘要技术,以及文本挖掘领域的其他解决方案,试图通过提供对基本信息的更简单的访问,以精简的形式和更好的潜在重用来解决这个问题。通过一个特定的过程,该技术使分析文本成为可能,以便提取有效的信息,以便根据精确的目标进行重用,节省时间并提高生产力。我们开发了一款自动摘要软件Essential Summarizer,采用基于语言学技术的方法对书面文本进行语义分析。这个创新的应用程序非常快,并以20种语言生成适合用户需求的摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Essential summarizer: innovative automatic text summarization software in twenty languages
With the advent of electronic textual documents following the fulgurating development of data processing, there are now pressing needs to extract useful and reusable information from text. It is thus quite natural to address the problem of the overabundance of digital textual information. The technology of automatic text summarization, along with other solutions in the area of text mining, tries to remedy this by providing easier access to essential information, in condensed form and for better potential reuse. Through a specific process, this technology makes it possible to analyze a text in order to extract only efficient information for reuse in view of precise goals, saving time and enhancing productivity. We have developed an automatic summarization software called Essential Summarizer, with an approach based on linguistic techniques to perform semantic analysis of written text. This innovative application is very fast and produces summaries tailored to the user's needs in twenty languages.
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