重新审视阿拉伯语词性标记集

Y. Elhadj, Ahmed Abdelali, Rachid Bouziane, Adel Ammar
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引用次数: 5

摘要

在自然语言处理的主要领域中,为给定上下文中的单词分配适当的语法类别是非常重要的一步。目前存在的阿拉伯语词性标注器数量有限。这些标记器主要采用为英语等语言开发的标记集。在本文中,我们提出了一项针对阿拉伯语POS标签的修订类别的努力,该类别将考虑到语言的丰富性及其对自动处理的兼容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revisiting Arabic Part of Speech Tagsets
Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English. In this paper we present an effort of proposing a revised categories for Arabic POS tags that would take into consideration the richness of the language as well as its compatibility for automatic processing.
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