Thai Dependency Parsing with Character Embedding

Sattaya Singkul, K. Woraratpanya
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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.
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。
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