ABHIDHA:印度雅利安语言的扩展WordNet

S. R. Annam, M. Choudhury, S. Sarkar, A. Basu
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引用次数: 3

摘要

词汇知识库是智能信息处理系统的重要组成部分。由普林斯顿认知系统实验室开发的WordNet作为自然语言处理活动的词汇参考系统。我们研究所以印度语为基础的活动主要是文本到语音的合成和从符号输入生成自然语言,这需要在词汇参考系统中包含额外的特征,如音系、词根和词源信息。我们最初的努力是在印地语和孟加拉语,但印度雅利安语言的共性和这些额外功能的重要性使我们相信,为其他印度雅利安语言建立一个包含这些功能的WordNet是值得的。在本文中,我们讨论了与印度雅利安语言的通用扩展WordNet的结构化设计和开发有关的问题,特别提到了印地语和孟加拉语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABHIDHA: an extended WordNet for Indo Aryan languages
A lexical knowledge base is an important component of any intelligent information processing system. The WordNet developed at the Cognitive Systems Laboratories at Princeton has served as a lexical reference system for natural language processing activities. The Indian language based activities at our institute mainly in text-to-speech synthesis and natural language generation from iconic inputs require the inclusion of additional features in the lexical reference system like phonology, word roots, and etymological information. Our initial efforts have been in Hindi and Bengali but commonality of Indo Aryan Languages and the importance of these extra features lead us to believe that it is a worthwhile effort to build-up a WordNet for other Indo Aryan languages containing these features. In this paper, we speak of the issues relating to the structured design and development of a generalized extended WordNet for Indo Aryan languages with special reference to Hindi and Bengali.
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