通过构建儿科马来语语料库开发儿科马来语矩阵句测试(PaedMalayMST)材料

IF 0.2 0 LANGUAGE & LINGUISTICS
Nur 'Azzah Zakaria, S. Jamaluddin, Wan Ahmad Wan Aslynn, G. O'Beirne, Nur Awatif Zulkeflee, Atiffah Zawani Abd Razak
{"title":"通过构建儿科马来语语料库开发儿科马来语矩阵句测试(PaedMalayMST)材料","authors":"Nur 'Azzah Zakaria, S. Jamaluddin, Wan Ahmad Wan Aslynn, G. O'Beirne, Nur Awatif Zulkeflee, Atiffah Zawani Abd Razak","doi":"10.22452/jml.vol32no2.2","DOIUrl":null,"url":null,"abstract":"The selection of material is important in the development of a paediatric speech perception test. Even though several studies have documented various sources of speech testing materials, using corpus was recommended to develop a Matrix Sentence Test (MST). However, as available Malay corpus was limited to written words only, this research aims to construct a Paediatric Malay corpus from a combination of written and spoken words of children in Malaysia and to develop word-based matrix (WBM) for the Paediatric Malay Matrix Sentence Test (PaedMalayMST) based on the developed corpus. The WBM replicates the Malay grammatical structure in these three categories: number, object, and adjective. Based on these criteria, the words from the developed corpus were then filtered by considering the frequency of occurrences and its phonemic distributions to be included in the WBM. As a result, a matrix of three categories with six words for each category was constructed.","PeriodicalId":53718,"journal":{"name":"Jordan Journal of Modern Languages & Literature","volume":"41 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Development of Paediatric Malay Matrix Sentence Test (PaedMalayMST) Materials through the Construction of a Paediatric Malay Corpus\",\"authors\":\"Nur 'Azzah Zakaria, S. Jamaluddin, Wan Ahmad Wan Aslynn, G. O'Beirne, Nur Awatif Zulkeflee, Atiffah Zawani Abd Razak\",\"doi\":\"10.22452/jml.vol32no2.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The selection of material is important in the development of a paediatric speech perception test. Even though several studies have documented various sources of speech testing materials, using corpus was recommended to develop a Matrix Sentence Test (MST). However, as available Malay corpus was limited to written words only, this research aims to construct a Paediatric Malay corpus from a combination of written and spoken words of children in Malaysia and to develop word-based matrix (WBM) for the Paediatric Malay Matrix Sentence Test (PaedMalayMST) based on the developed corpus. The WBM replicates the Malay grammatical structure in these three categories: number, object, and adjective. Based on these criteria, the words from the developed corpus were then filtered by considering the frequency of occurrences and its phonemic distributions to be included in the WBM. As a result, a matrix of three categories with six words for each category was constructed.\",\"PeriodicalId\":53718,\"journal\":{\"name\":\"Jordan Journal of Modern Languages & Literature\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jordan Journal of Modern Languages & Literature\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22452/jml.vol32no2.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jordan Journal of Modern Languages & Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22452/jml.vol32no2.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0

摘要

材料的选择在儿童语言感知测试的发展中是重要的。尽管一些研究已经记录了各种来源的语音测试材料,但建议使用语料库来开发矩阵句测试(MST)。然而,由于可用的马来语料库仅限于书面单词,本研究旨在从马来西亚儿童的书面和口语单词组合中构建儿科马来语语料库,并基于开发的语料库为儿科马来语矩阵句子测试(PaedMalayMST)开发基于单词的矩阵(WBM)。WBM在数词、宾语和形容词这三个类别中复制了马来语的语法结构。在这些标准的基础上,通过考虑出现频率及其音位分布来过滤已开发语料库中的单词,并将其包含在WBM中。结果,构建了一个包含三个类别的矩阵,每个类别有六个单词。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Development of Paediatric Malay Matrix Sentence Test (PaedMalayMST) Materials through the Construction of a Paediatric Malay Corpus
The selection of material is important in the development of a paediatric speech perception test. Even though several studies have documented various sources of speech testing materials, using corpus was recommended to develop a Matrix Sentence Test (MST). However, as available Malay corpus was limited to written words only, this research aims to construct a Paediatric Malay corpus from a combination of written and spoken words of children in Malaysia and to develop word-based matrix (WBM) for the Paediatric Malay Matrix Sentence Test (PaedMalayMST) based on the developed corpus. The WBM replicates the Malay grammatical structure in these three categories: number, object, and adjective. Based on these criteria, the words from the developed corpus were then filtered by considering the frequency of occurrences and its phonemic distributions to be included in the WBM. As a result, a matrix of three categories with six words for each category was constructed.
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
CiteScore
0.50
自引率
50.00%
发文量
42
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信