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- W2073676589 abstract "Computational linguistic and natural language processing automation tasks require text annotated with tags that represent the desired output of the task. The annotation tags serve for training, validation, and evaluation. Arabic morphological analysis, and tags associated with it such as part of speech and gloss tags, is key to Arabic computational linguistics and natural language processing. Several manual and automated tagging tools exist for text. Very few exist that are based on Arabic morphological analysis. In this paper, we present an open source tagging tool with visual interface that enables the construction of annotated Arabic text corpora with automatic morphology-based tags. The tool allows the specification of tags with Boolean formulae where the atomic predicates are match and contain relations between the morphological solution of part of the text and the value of a morphological feature. The tool allows the user to directly enter manual tags, to edit existing tags through a tag sensitive coloring interface, to compare tag sets, and compute accuracy results." @default.
- W2073676589 created "2016-06-24" @default.
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- W2073676589 date "2013-05-01" @default.
- W2073676589 modified "2023-09-22" @default.
- W2073676589 title "MATAr: Morphology-based Tagger for Arabic" @default.
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- W2073676589 doi "https://doi.org/10.1109/aiccsa.2013.6616418" @default.
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