从软件工程到复杂管道的阿拉伯自然语言处理

Younes Jaafar, Karim Bouzoubaa
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引用次数: 14

摘要

阿拉伯语自然语言处理(ANLP)在过去十年中有了重要的发展。目前,人们开发了多种语言分析工具,如词法分析工具、句法分析工具等。这些工具的特点是在使用的开发语言、操作的输入/输出、结果的内部和外部表示等方面具有多样性。这主要是由于缺乏管理其实现的模型和标准。这种多样性不利于这些工具之间的互操作性,也不利于它们在新的高级项目中的重用。在本文中,我们提出了使用SAFAR平台的三种工具的api和模型:词干分析器、形态分析器和语法分析器。我们的建议是标准化同类型工具共享的所有方面的一个步骤。我们还回顾了这些工具之间的互操作性问题。最后,我们讨论了管道过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arabic Natural Language Processing from Software Engineering to Complex Pipeline
Arabic Natural Language Processing (ANLP) has known an important development during the last decade. Nowadays, Several ANLP tools are developed such as morphological analyzers, syntactic parsers, etc. These tools are characterized by their diversity in terms of development languages used, inputs/outputs manipulated, internal and external representations of results, etc. This is mainly due to the lack of models and standards that govern their implementations. This diversity does not favor interoperability between these tools or their reuse in new advanced projects. In this article, we propose APIs and models for three types of tools namely: stemmers, morphological analyzers and syntactic parsers, using SAFAR platform. Our proposal is a step for standardizing all aspects shared by tools of the same type. We review also the issue of interoperability between these tools. Finally, we discuss pipeline processes.
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