Semi-Semantic Annotation: A guideline for the URDU.KON-TB treebank POS annotation


  • Qaiser ABBAS Department of Computer Science & Information Technology, University of Sargodha, 40100 Sargodha, Pakistan



semi-semantic part of speech, rich information, deep learning, parsing aid, linguistically motivated annotation, humanistic annotation


This work elaborates the semi-semantic part of speech annotation guidelines for the URDU.KON-TB treebank: an annotated corpus. A hierarchical annotation scheme was designed to label the part of speech and then applied on the corpus. This raw corpus was collected from the Urdu Wikipedia and the Jang newspaper and then annotated with the proposed semi-semantic part of speech labels. The corpus contains text of local & international news, social stories, sports, culture, finance, religion, traveling, etc. This exercise finally contributed a part of speech annotation to the URDU.KON-TB treebank. Twenty-two main part of speech categories are divided into subcategories, which conclude the morphological, and semantical information encoded in it. This article reports the annotation guidelines in major; however, it also briefs the development of the URDU.KON-TB treebank, which includes the raw corpus collection, designing & employment of annotation scheme and finally, its statistical evaluation and results. The guidelines presented as follows, will be useful for linguistic community to annotate the sentences not only for the national language Urdu but for the other indigenous languages like Punjab, Sindhi, Pashto, etc., as well.


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How to Cite

ABBAS, Q. (2016). Semi-Semantic Annotation: A guideline for the URDU.KON-TB treebank POS annotation. Acta Linguistica Asiatica, 6(2), 97–134.



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