用Tree CRFs解析泰米尔语中的代词

R. Ram, S. L. Devi
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引用次数: 11

摘要

我们使用Tree CRFs描述我们在泰米尔语代词解决方面的工作。代词解析是识别代词所指对象的任务。在这项工作中,我们研究了泰米尔语中的第三人称代词,如“avan”,“aval”,“athu”,“avar”,他,她,它和他们。泰米尔语是一种德拉威语,它是一种形态丰富且高度粘连的语言。Tree CRFs是一种机器学习方法,它将数据建模为带有边缘权重的图,用于学习。学习的特征是利用语言的形态特征来发展的。该工作是在来自Web的旅游领域数据上进行的。我们获得了70.8%的准确率和66.5%的召回率。结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pronominal Resolution in Tamil Using Tree CRFs
We describe our work on pronominal resolution in Tamil using Tree CRFs. Pronominal resolution is the task of identifying the referent of a pronominal. In this work we have studied third person pronouns in Tamil such as 'avan', 'aval', 'athu', 'avar', he, she, it and they respectively. Tamil is a Dravidian language and it is morphologically rich and highly agglutinative language. Tree CRFs is a machine learning method, in which the data is modeled as a graph with edge weights used for learning. The features for learning are developed by using the morphological features of the language. The work is carried out on tourism domain data from the Web. We have obtained 70.8% precision and 66.5% recall. The results are encouraging.
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