WordNcts arc useful resources for natural language processing. Various WordNcts for different languages have been developed by different groups. Recently, World WondNet Database Structure (WWDS) was proposed by Redkar et. al (2015) as a common platform to store these different WordNcts. However, it is underutilized due to lack of programming interface. In this paper, we present WWDS APIs, which are designed to address this shortcoming. These WWDS APIs, in conjunction with WWDS, act as a wrapper that enables developers to utilize WordNcts without worrying about the underlying storage structure. The APIs arc developed in PHP, Java, and Python, as they arc the preferred programming languages of most developers and researchers working in language technologies. These APIs can help in various applications like machine translation, wo id sense disambiguation, multilingual information retrieval, etc.
CITATION STYLE
Rcdkar, H., Bhingardive, S., Patcl, K., Bhattacharyya, P., Prabhugaonkar, N., Nagvenkar, A., & Karmali, R. (2016). WWDS APIs: Application programming interfaces for efficient manipulation of world WordNet database structure. In 30th AAAI Conference on Artificial Intelligence, AAAI 2016 (pp. 4379–4380). AAAI press. https://doi.org/10.1609/aaai.v30i1.9849
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