阿法安形态根鉴别的概率与分组方法

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI:10.1109/CONFLUENCE.2016.7508039

Getachew Mamo Wegari, M. Melucci, S. Teferra

{"title":"阿法安形态根鉴别的概率与分组方法","authors":"Getachew Mamo Wegari, M. Melucci, S. Teferra","doi":"10.1109/CONFLUENCE.2016.7508039","DOIUrl":null,"url":null,"abstract":"Morphological models are used in many natural language processing tasks including machine translation and speech recognition. We investigated probabilistic and grouping methods to develop a morphological root identification model for Afaan Oromo. In this paper, we have experimentally shown that the proposed methods can improve the morphological root identification performance of some state-of-the-art methods.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Probabilistic and grouping methods for morphological root identification for Afaan Oromo\",\"authors\":\"Getachew Mamo Wegari, M. Melucci, S. Teferra\",\"doi\":\"10.1109/CONFLUENCE.2016.7508039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Morphological models are used in many natural language processing tasks including machine translation and speech recognition. We investigated probabilistic and grouping methods to develop a morphological root identification model for Afaan Oromo. In this paper, we have experimentally shown that the proposed methods can improve the morphological root identification performance of some state-of-the-art methods.\",\"PeriodicalId\":299044,\"journal\":{\"name\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2016.7508039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2016.7508039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

形态学模型用于许多自然语言处理任务，包括机器翻译和语音识别。研究了概率和分组方法，建立了阿法安奥罗莫的形态根识别模型。在本文中，我们通过实验证明了所提出的方法可以提高一些最先进的形态学根识别方法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Probabilistic and grouping methods for morphological root identification for Afaan Oromo

Morphological models are used in many natural language processing tasks including machine translation and speech recognition. We investigated probabilistic and grouping methods to develop a morphological root identification model for Afaan Oromo. In this paper, we have experimentally shown that the proposed methods can improve the morphological root identification performance of some state-of-the-art methods.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)

自引率

0.00%

发文量