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Implementation of Walker algorithm in Word Sense Disambiguation for Assamese language

机译:assamene语言词义歧义中的沃克算法的实现

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Word Sense Disambiguation (WSD) is the task allied to tagging an appropriate sense to a word with multiple senses known as ambiguous word. This task has been regarded as open and Artificial Intelligence complete problem in Natural Language Processing (NLP) due to its level of difficulty and necessity of world knowledge, reasoning capacity etc. In this paper, we have used Walker algorithm for disambiguation of Assamese word. This is a thesaurus based algorithm making use of category of each word defined in the thesaurus. For a language like Assamese, WSD is yet very topical approach. There is not any existing thesaurus with tagged category for Assamese language and hence we have used a modified version of Assamese wordnet for the purpose our experiment.
机译:字感消歧(WSD)是指标记对具有称为暧昧单词的单词标记适当的意义的任务。这项任务被认为是自然语言处理(NLP)的开放和人工智能完全问题,因为它的难度和世界知识的必要性,推理能力等。在本文中,我们使用了Walker算法歧义了assamese词。这是一种基于词库的算法,利用在词库中定义的每个单词的类别。对于像assamese这样的语言,WSD还是非常局部的方法。没有任何现有的同义词库,具有assameese语言的标记类别,因此我们使用了一个修改版的assamese wordnet,以便我们的实验。

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