An Adaptive Harmony Search Part-of-Speech tagger for Square Hmong Corpus

被引：1

作者：

Kang, Di -Wen ^{[1
]}

Ye, Shao-Qiang ^{[2
,4
]}

Ahmad, Sharifah Zarith Rahmah Syed ^{[2
]}

Mo, Li-Ping ^{[3
]}

Qin, Feng ^{[2
]}

Zhou, Pan ^{[1
]}

机构：

[1] Jishou Univ, Sch Commun & Elect Engn, Jishou 416000, Peoples R China

[2] Univ Teknol Malaysia, Fac Comp, Skudai 80310, Johor, Malaysia

[3] Jishou Univ, Coll Comp Sci & Engn, Jishou, Hunan, Peoples R China

[4] Hunan Appl Technol Univ, Coll Informat & Engn, Changde 415000, Hunan, Peoples R China

来源：

BAGHDAD SCIENCE JOURNAL | 2024年 / 21卷 / 02期

关键词：

Harmony Search Algorithm; Low-resource language; Optimization; Part-of-Speech tagging; Unknown words; ALGORITHM;

D O I：

10.21123/bsj.2024.9694

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Data -driven models perform poorly on part -of -speech tagging problems with the square Hmong language, a low -resource corpus. This paper designs a weight evaluation function to reduce the influence of unknown words. It proposes an improved harmony search algorithm utilizing the roulette and local evaluation strategies for handling the square Hmong part -of -speech tagging problem. The experiment shows that the average accuracy of the proposed model is 6%, 8% more than HMM and BiLSTM-CRF models, respectively. Meanwhile, the average F1 of the proposed model is also 6%, 3% more than HMM and BiLSTM-CRF models, respectively.

引用

页码：622 / 632

页数：11

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