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http://hdl.handle.net/10609/151505
| Title: | Unsupervised learning of agglutinated morphology using Nested Pitman-Yor Process based Morpheme Induction Algorithm |
| Author: | Arun Kumar, Rajappan Nair  Padró, Lluís Oliver, Antoni |
| Citation: | Kumar, A. [Mokhtar], Padró, L. [Lluís] & Oliver, A. [Antoni]. (2016). Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm. A Y. Lu, W. Chen, M. Zhang, M. Dong & B. Ma (ed.). 2015 International Conference on Asian Language Processing (IALP) (p. 45-48). Los Alamitos, CA: IEEE Computer Society |
| Abstract: | In this paper we describe a method of morphologically segment highly agglutinating and inflectional languages from the Dravidian family. We use the 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 on two languages, Malayalam and Kannada and compare the results with Morfessor-baseline. |
| Keywords: | Nested Pitman-Yor Process agglutinated morphology |
| Document type: | info:eu-repo/semantics/conferenceObject |
| Issue Date: | 2015 |
| Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/  |
| Appears in Collections: | Conferencias |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| kumar_ieee_Unsupervised.pdf | 1,9 MB | Adobe PDF |  View/Open |
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