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Explicit Conceptualization and Ontological Representation of Domains for Punjabi Words

机译:Punjabi单词的明确概念化和本体论代表

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摘要

NLP resources end up not having higher utility and acceptance amongst the targeted user community even if a lot of time and energy is used in building them. Like many other Indian languages, Punjabi language also inherits a rich literature history but technical developments are very recent for it. It does not have many NLP resources of its own, such as, annotated corpora, rich dictionaries, sentiment lexicons, well conceptualized domains etc. Our present work is an effort to build a controlled vocabulary of concepts or domains for Punjabi words in the form of domain ontology. Ontologies capture and describe the current state of knowledge about a domain of interest, and represent it in terms of concepts and relationships in ways that computers can process efficiently and humans can understand easily. We develop the domain ontology by starting assigning concepts as top level domains and then populate lower level domains having more granular conceptualization under the higher level domains. This developed resource can further be used in different semantically based NLP tasks in Punjabi language.
机译:即使在建立它们的大量时间和能量,NLP资源也最终没有在目标用户社区中获得更高的实用程序和接受。像许多其他印度语言一样,Punjabi语言也继承了丰富的文学历史,但技术发展是非常近来的。它没有自己的许多NLP资源,例如注释的语料库,丰富的词典,情绪词典,概念化的域名等。我们现在的工作是为以旁遮普语言的形式建立一个受控词汇的概念或域名域本体。本体捕获并描述了关于感兴趣领域的当前知识状态,并以概念和关系代表计算机可以有效地处理,人类可以轻松理解。我们通过启动将概念作为顶级域名开发域本体,然后在更高级别的域下填充具有更高粒度概念化的较低级别域。此开发的资源可以进一步用于旁遮普语言的不同语义基础的NLP任务。

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