{"title":"改编阅读材料的结构复杂性:基于信息量的研究","authors":"Yaqian Shi, L. Lei","doi":"10.1002/rrq.547","DOIUrl":null,"url":null,"abstract":"Most of the previous studies focused on lexical and syntactic features in adapted texts while little attention has been paid to the structural complexity from the perspective of the amount of information. In this study, we intend to examine the differences in structural complexity in adapted texts from the perspective of the amount of information at the lexical and grammatical levels. We also aim to identify the lexical and grammatical features that contribute most to such differences. The data used in this study were reading texts from Newsela, that is, reading materials for English learners under the educational system of K‐12 in the United States. This study yields several findings of interest. First, the adapted texts differ in the structural complexity at both lexical and grammatical levels in terms of their amount of information. Second, the differences display a decreasing trend. That is, the differences become smaller when the level of the text increases. Third, function words and part‐of‐speech trigrams with a preposition(s) and/or a noun(s) contribute most to the differences. The findings provide significant implications for the adaptation of language materials such as reading texts and test materials.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":"17 2","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structural Complexity in Adapted Reading Materials: A Study Based on the Amount of Information\",\"authors\":\"Yaqian Shi, L. Lei\",\"doi\":\"10.1002/rrq.547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of the previous studies focused on lexical and syntactic features in adapted texts while little attention has been paid to the structural complexity from the perspective of the amount of information. In this study, we intend to examine the differences in structural complexity in adapted texts from the perspective of the amount of information at the lexical and grammatical levels. We also aim to identify the lexical and grammatical features that contribute most to such differences. The data used in this study were reading texts from Newsela, that is, reading materials for English learners under the educational system of K‐12 in the United States. This study yields several findings of interest. First, the adapted texts differ in the structural complexity at both lexical and grammatical levels in terms of their amount of information. Second, the differences display a decreasing trend. That is, the differences become smaller when the level of the text increases. Third, function words and part‐of‐speech trigrams with a preposition(s) and/or a noun(s) contribute most to the differences. The findings provide significant implications for the adaptation of language materials such as reading texts and test materials.\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":\"17 2\",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1002/rrq.547\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1002/rrq.547","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Structural Complexity in Adapted Reading Materials: A Study Based on the Amount of Information
Most of the previous studies focused on lexical and syntactic features in adapted texts while little attention has been paid to the structural complexity from the perspective of the amount of information. In this study, we intend to examine the differences in structural complexity in adapted texts from the perspective of the amount of information at the lexical and grammatical levels. We also aim to identify the lexical and grammatical features that contribute most to such differences. The data used in this study were reading texts from Newsela, that is, reading materials for English learners under the educational system of K‐12 in the United States. This study yields several findings of interest. First, the adapted texts differ in the structural complexity at both lexical and grammatical levels in terms of their amount of information. Second, the differences display a decreasing trend. That is, the differences become smaller when the level of the text increases. Third, function words and part‐of‐speech trigrams with a preposition(s) and/or a noun(s) contribute most to the differences. The findings provide significant implications for the adaptation of language materials such as reading texts and test materials.
期刊介绍:
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
Indexed/Abstracted:
Web of Science SCIE
Scopus
CAS
INSPEC
Portico