Thai Dependency Parsing with Character Embedding

Sattaya Singkul, K. Woraratpanya
{"title":"Thai Dependency Parsing with Character Embedding","authors":"Sattaya Singkul, K. Woraratpanya","doi":"10.1109/ICITEED.2019.8930002","DOIUrl":null,"url":null,"abstract":"Dependency parsing (DP) becomes an important part of natural language processing (NLP) applications. However, most of DP methods have been developed for English language, but not for Thai language. In addition, the existing DP methods were still unsolved the problems of long and complex sentences. Therefore, this paper proposes seven Thai DP algorithms. Five different Thai DP algorithms was developed from transition-based parsing and the other two was developed from graph-based parsing. Based on Thai-PUD and English-PUD datasets, containing both long and complex sentences, the experimental results showed that all Thai DP algorithms bundled with character embedding can outperform the baselines.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"21 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2019.8930002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Dependency parsing (DP) becomes an important part of natural language processing (NLP) applications. However, most of DP methods have been developed for English language, but not for Thai language. In addition, the existing DP methods were still unsolved the problems of long and complex sentences. Therefore, this paper proposes seven Thai DP algorithms. Five different Thai DP algorithms was developed from transition-based parsing and the other two was developed from graph-based parsing. Based on Thai-PUD and English-PUD datasets, containing both long and complex sentences, the experimental results showed that all Thai DP algorithms bundled with character embedding can outperform the baselines.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用字符嵌入的泰语依赖解析
依赖项解析(DP)已成为自然语言处理(NLP)应用的重要组成部分。然而,大多数DP方法都是针对英语开发的,而不是针对泰语。此外,现有的DP方法还没有解决长句和复杂句的问题。因此,本文提出了7种泰国DP算法。基于转换的解析开发了五种不同的泰国DP算法,另外两种是从基于图的解析开发的。在包含长句和复杂句的泰语和英语数据集上,实验结果表明,结合字符嵌入的泰语DP算法均优于基线算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and Simulation of Three Phase Squirrel Cage Induction Motor in Low Voltage System 48V 50Hz 3Hp for Electric Golf Cart Study on Detection Mechanism of HF Radar for Early Tsunami Detection and Comparison to Other Tsunami Sensors Research On The Impact of Knowledge Management Practice for Ogranizational Performance: Indonesian Electronic Power Company A Virtual Spring Damper Method for Formation Control of the Multi Omni-directional Robots in Cooperative Transportation Power Allocation for Group LDS-OFDM in Underlay Cognitive Radio
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1