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Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm

机译：基于嵌套pitman-Yor过程的语素诱导算法的无监督学习凝集形态学

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In this paper we describe a method to morphologically segment highly agglutinating and inflectional languages from Dravidian family. We use nested Pitman-Yor process to segment long agglutinated words into their basic components, and use a corpus based morpheme induction algorithm to perform morpheme segmentation. We test our method in two languages, Malayalam and Kannada and compare the results with Morfessor

机译：在本文中，我们描述了一种从Dravidian家族中对高度凝集和屈折语言进行形态学分割的方法。我们使用嵌套的Pitman-Yor过程将长的凝集词分割成它们的基本成分，并使用基于语料库的词素归纳算法来执行词素分割。我们用马拉雅拉姆语和卡纳达语两种语言测试方法，并将结果与Morfessor进行比较

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Kumar, Arun; Padró, Lluís; Oliver González, Antoni;
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年度 2015
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专利

1. Early morphological processing is sensitive to morphemic meanings: Evidence from processing ambiguous morphemes [J] . Tsang Y.-K., Chen H.-C. Journal of memory and language . 2013,第3期

机译：早期形态处理对语素意义敏感：来自处理歧义语素的证据
2. Unsupervised Classifications of Depression Levels Based on Machine Learning Algorithms Perform Well as Compared to Traditional Norm-Based Classifications [J] . Zhenkai Yang, Chuansheng Chen, Hanwen Li, Frontiers in Psychiatry . 2020,第12期

机译：根据机器学习算法的抑郁级别的无监督分类与传统的基于规范分类相比，表现良好
3. An algorithm for the unsupervised learning of morphology [J] . JOHN GOLDSMITH Natural language engineering . 2006,第Pt4期

机译：形态学无监督学习的算法
4. Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm [C] . Arun Kumar, Llu��s Padr��, Antoni Oliver International conference on asian language processing . 2015

机译：基于嵌套Pitman-Yor过程的词素归纳算法的无监督凝集形态学习
5. Extended Bayes and skewing: On two improvements to standard induction-based learning algorithms. [D] . Rosell, Bernard. 2005

机译：扩展的贝叶斯和偏斜：基于标准归纳学习算法的两个改进。
6. Unsupervised Classifications of Depression Levels Based on Machine Learning Algorithms Perform Well as Compared to Traditional Norm-Based Classifications [O] . Zhenkai Yang, Chuansheng Chen, Hanwen Li, 2020

机译：与传统的基于规范的分类相比基于机器学习算法的抑郁水平无监督分类表现良好
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Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm

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